downloading reverse dependencies ‘APackOfTheClones’, ‘bbknnR’, ‘Platypus’, ‘RepeatedHighDim’, ‘scAnnotate’, ‘scaper’, ‘scCustomize’, ‘scpoisson’, ‘Seurat’, ‘SeuratExplorer’, ‘Signac’, ‘tidyseurat’, ‘XYomics’, ‘ClustAssess’, ‘CytoSimplex’, ‘mxfda’, ‘myTAI’, ‘RESET’, ‘rliger’, ‘scOntoMatch’, ‘SCpubr’, ‘SingleCellComplexHeatMap’, ‘singleCellHaystack’, ‘spatialGE’, ‘SpaTopic’, ‘SPECK’, ‘VAM’ trying URL 'file:///data/Repositories/CRAN/src/contrib/APackOfTheClones_1.3.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/bbknnR_2.0.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/Platypus_3.6.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/RepeatedHighDim_2.4.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/scAnnotate_0.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/scaper_0.2.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/scCustomize_3.2.4.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/scpoisson_0.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/Seurat_5.3.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/SeuratExplorer_0.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/Signac_1.16.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/tidyseurat_0.8.7.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/XYomics_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/ClustAssess_1.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/CytoSimplex_0.2.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/mxfda_0.2.2-1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/myTAI_2.3.4.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/RESET_1.0.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/rliger_2.2.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/scOntoMatch_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/SCpubr_3.0.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/SingleCellComplexHeatMap_0.1.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/singleCellHaystack_1.0.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/spatialGE_1.2.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/SpaTopic_1.2.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/SPECK_1.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/VAM_1.1.0.tar.gz' installing dependencies ‘biovizBase’, ‘BPCells’, ‘chromVAR’, ‘decoupleR’, ‘dittoSeq’, ‘DropletUtils’, ‘EnhancedVolcano’, ‘enrichR’, ‘ggpolypath’, ‘ggprism’, ‘ggseqlogo’, ‘glmGamPoi’, ‘glmpca’, ‘Gmedian’, ‘gprofiler2’, ‘iNEXT’, ‘infercnv’, ‘kmer’, ‘leiden’, ‘leidenAlg’, ‘MAST’, ‘mcprogress’, ‘metap’, ‘monocle’, ‘monocle3’, ‘motifmatchr’, ‘Nebulosa’, ‘ontologyPlot’, ‘presto’, ‘qualpalr’, ‘RcppPlanc’, ‘reactome.db’, ‘ReactomePA’, ‘refund.shiny’, ‘rliger’, ‘rnndescent’, ‘sankey’, ‘scSpatialSIM’, ‘scuttle’, ‘SeuratObject’, ‘SharedObject’, ‘shinyLP’, ‘slingshot’, ‘spaMM’, ‘SpatEntropy’, ‘spatialTIME’, ‘TFBSTools’, ‘tidytable’, ‘ttservice’, ‘UCell’, ‘useful’, ‘VAM’, ‘vioplot’, ‘waffle’, ‘wordspace’, ‘wrswoR’ Warning: packages ‘BPCells’, ‘presto’, ‘monocle3’, ‘waffle’ are not available for this version of R Versions of these packages for your version of R might be available elsewhere, see the ideas at https://cran.r-project.org/doc/manuals/r-devel/R-admin.html#Installing-packages also installing the dependencies ‘ProtGenerics’, ‘dir.expiry’, ‘easy.utils’, ‘findpython’, ‘phylogram’, ‘TrajectoryUtils’, ‘TFisher’, ‘mutoss’, ‘DDRTree’, ‘HSMMSingleCell’, ‘biocViews’, ‘DirichletMultinomial’, ‘seqLogo’, ‘TFMPvalue’, ‘VariantAnnotation’, ‘ensembldb’, ‘AnnotationFilter’, ‘graphite’, ‘dixon’, ‘sccore’, ‘hdf5r.Extra’, ‘HighFive’, ‘simplegraph’, ‘paintmap’, ‘phyclust’, ‘HiddenMarkov’, ‘argparse’, ‘sparsesvd’ begin installing package ‘ProtGenerics’ begin installing package ‘dir.expiry’ begin installing package ‘easy.utils’ begin installing package ‘findpython’ begin installing package ‘phylogram’ begin installing package ‘TrajectoryUtils’ begin installing package ‘TFisher’ begin installing package ‘mutoss’ begin installing package ‘DDRTree’ begin installing package ‘HSMMSingleCell’ begin installing package ‘biocViews’ begin installing package ‘DirichletMultinomial’ begin installing package ‘TFMPvalue’ begin installing package ‘seqLogo’ begin installing package ‘VariantAnnotation’ begin installing package ‘AnnotationFilter’ begin installing package ‘dixon’ begin installing package ‘SeuratObject’ begin installing package ‘HighFive’ begin installing package ‘simplegraph’ begin installing package ‘paintmap’ begin installing package ‘phyclust’ begin installing package ‘HiddenMarkov’ begin installing package ‘sparsesvd’ begin installing package ‘rnndescent’ begin installing package ‘tidytable’ begin installing package ‘ggseqlogo’ begin installing package ‘useful’ * installing *source* package ‘HighFive’ ... ** this is package ‘HighFive’ version ‘3.2.0’ ** package ‘HighFive’ successfully unpacked and MD5 sums checked ** using staged installation ** inst ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (HighFive) begin installing package ‘iNEXT’ * installing *source* package ‘dir.expiry’ ... ** this is package ‘dir.expiry’ version ‘1.18.0’ ** package ‘dir.expiry’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dir.expiry) begin installing package ‘VAM’ * installing *source* package ‘findpython’ ... ** this is package ‘findpython’ version ‘1.0.9’ ** package ‘findpython’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (findpython) begin installing package ‘ggprism’ * installing *source* package ‘paintmap’ ... ** this is package ‘paintmap’ version ‘1.0’ ** package ‘paintmap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paintmap) begin installing package ‘mcprogress’ * installing *source* package ‘HSMMSingleCell’ ... ** this is package ‘HSMMSingleCell’ version ‘1.30.0’ ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (HSMMSingleCell) begin installing package ‘dittoSeq’ * installing *source* package ‘simplegraph’ ... ** this is package ‘simplegraph’ version ‘1.0.1’ ** package ‘simplegraph’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (simplegraph) begin installing package ‘scuttle’ * installing *source* package ‘phylogram’ ... ** this is package ‘phylogram’ version ‘2.1.0’ ** package ‘phylogram’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phylogram) begin installing package ‘glmpca’ * installing *source* package ‘ProtGenerics’ ... ** this is package ‘ProtGenerics’ version ‘1.42.0’ ** package ‘ProtGenerics’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘smooth’ in package ‘ProtGenerics’ ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ProtGenerics) begin installing package ‘enrichR’ * installing *source* package ‘mcprogress’ ... ** this is package ‘mcprogress’ version ‘0.1.1’ ** package ‘mcprogress’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mcprogress) begin installing package ‘glmGamPoi’ * installing *source* package ‘seqLogo’ ... ** this is package ‘seqLogo’ version ‘1.76.0’ ** package ‘seqLogo’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (seqLogo) begin installing package ‘MAST’ * installing *source* package ‘easy.utils’ ... ** this is package ‘easy.utils’ version ‘0.1.0’ ** package ‘easy.utils’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (easy.utils) begin installing package ‘wrswoR’ * installing *source* package ‘ggseqlogo’ ... ** this is package ‘ggseqlogo’ version ‘0.2’ ** package ‘ggseqlogo’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggseqlogo) begin installing package ‘ttservice’ * installing *source* package ‘HiddenMarkov’ ... ** this is package ‘HiddenMarkov’ version ‘1.8-14’ ** package ‘HiddenMarkov’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpUgFhqx/R.INSTALL20f22a44e6a6b9/HiddenMarkov/src' gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c HiddenMarkov_init.c -o HiddenMarkov_init.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c dthmm.f -o dthmm.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c extract.f -o extract.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c mmpp.f -o mmpp.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c multiply.f -o multiply.o gcc-15 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o HiddenMarkov.so HiddenMarkov_init.o dthmm.o extract.o mmpp.o multiply.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpUgFhqx/R.INSTALL20f22a44e6a6b9/HiddenMarkov/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-HiddenMarkov/00new/HiddenMarkov/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (HiddenMarkov) begin installing package ‘Gmedian’ * installing *source* package ‘glmpca’ ... ** this is package ‘glmpca’ version ‘0.2.0’ ** package ‘glmpca’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmpca) begin installing package ‘gprofiler2’ * installing *source* package ‘TFisher’ ... ** this is package ‘TFisher’ version ‘0.2.0’ ** package ‘TFisher’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TFisher) begin installing package ‘leiden’ * installing *source* package ‘tidytable’ ... ** this is package ‘tidytable’ version ‘0.11.2’ ** package ‘tidytable’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidytable) begin installing package ‘qualpalr’ * installing *source* package ‘VAM’ ... ** this is package ‘VAM’ version ‘1.1.0’ ** package ‘VAM’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (VAM) begin installing package ‘shinyLP’ * installing *source* package ‘useful’ ... ** this is package ‘useful’ version ‘1.2.6.1’ ** package ‘useful’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (useful) begin installing package ‘vioplot’ * installing *source* package ‘sparsesvd’ ... ** this is package ‘sparsesvd’ version ‘0.2-3’ ** package ‘sparsesvd’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp83Yxzr/R.INSTALL20f21919446c41/sparsesvd/src' gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c las2.c -o las2.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c main.c -o main.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svdlib.c -o svdlib.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c svdutil.c -o svdutil.o gcc-15 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o sparsesvd.so las2.o main.o svdlib.o svdutil.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp83Yxzr/R.INSTALL20f21919446c41/sparsesvd/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-sparsesvd/00new/sparsesvd/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sparsesvd) begin installing package ‘SharedObject’ * installing *source* package ‘dixon’ ... ** this is package ‘dixon’ version ‘0.0-10’ ** package ‘dixon’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpXXHGfs/R.INSTALL20f20d8ddba20/dixon/src' gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c dixonloop.f -o dixonloop.o f951: Warning: Nonconforming tab character in column 1 of line 117 [-Wtabs] gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-15 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o dixon.so dixonloop.o init.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpXXHGfs/R.INSTALL20f20d8ddba20/dixon/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-dixon/00new/dixon/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dixon) begin installing package ‘SpatEntropy’ * installing *source* package ‘ggprism’ ... ** this is package ‘ggprism’ version ‘1.0.7’ ** package ‘ggprism’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggprism) begin installing package ‘refund.shiny’ * installing *source* package ‘shinyLP’ ... ** this is package ‘shinyLP’ version ‘1.1.3’ ** package ‘shinyLP’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinyLP) begin installing package ‘EnhancedVolcano’ * installing *source* package ‘biocViews’ ... ** this is package ‘biocViews’ version ‘1.78.0’ ** package ‘biocViews’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (biocViews) begin installing package ‘reactome.db’ * installing *source* package ‘vioplot’ ... ** this is package ‘vioplot’ version ‘0.5.1’ ** package ‘vioplot’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vioplot) begin installing package ‘decoupleR’ * installing *source* package ‘DirichletMultinomial’ ... ** this is package ‘DirichletMultinomial’ version ‘1.52.0’ ** package ‘DirichletMultinomial’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpCei1XL/R.INSTALL20f1f7411bcfcc/DirichletMultinomial/src' gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 `gsl-config --cflags` -DR_DIRICHLETMULTINOMIAL -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_DirichletMultinomial.c -o R_init_DirichletMultinomial.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 `gsl-config --cflags` -DR_DIRICHLETMULTINOMIAL -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dirichlet_fit.c -o dirichlet_fit.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 `gsl-config --cflags` -DR_DIRICHLETMULTINOMIAL -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dirichlet_fit_main.c -o dirichlet_fit_main.o dirichlet_fit_main.c: In function ‘hessian’: dirichlet_fit_main.c:391:34: warning: ‘*’ in boolean context, suggest ‘&&’ instead [-Wint-in-bool-context] 391 | adCJK0[j] += adPi[i] * n ? gsl_sf_psi(adAlpha[j] + n) : dPsiAlpha; | ~~~~~~~~^~~ dirichlet_fit_main.c:393:33: warning: ‘*’ in boolean context, suggest ‘&&’ instead [-Wint-in-bool-context] 393 | adCJK[j] += adPi[i] * n ? gsl_sf_psi_1(adAlpha[j] + n): dPsi1Alpha; | ~~~~~~~~^~~ gcc-15 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o DirichletMultinomial.so R_init_DirichletMultinomial.o dirichlet_fit.o dirichlet_fit_main.o -L/usr/lib/x86_64-linux-gnu -lgsl -lgslcblas -lm -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpCei1XL/R.INSTALL20f1f7411bcfcc/DirichletMultinomial/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DirichletMultinomial/00new/DirichletMultinomial/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DirichletMultinomial) begin installing package ‘UCell’ * installing *source* package ‘mutoss’ ... ** this is package ‘mutoss’ version ‘0.1-13’ ** package ‘mutoss’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mutoss) begin installing package ‘ggpolypath’ * installing *source* package ‘TFMPvalue’ ... ** this is package ‘TFMPvalue’ version ‘0.0.9’ ** package ‘TFMPvalue’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpoSY5TR/R.INSTALL20f1fe4f81d53f/TFMPvalue/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ArgumentException.cpp -o ArgumentException.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c FileException.cpp -o FileException.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Matrix.cpp -o Matrix.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ParseException.cpp -o ParseException.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TFMMain.cpp -o TFMMain.o TFMMain.cpp: In function ‘SEXPREC* pv2sc(SEXP, SEXP, SEXP, SEXP)’: TFMMain.cpp:159:8: warning: unused variable ‘sortColumns’ [-Wunused-variable] 159 | bool sortColumns = false; | ^~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c TFMPvalue_init.c -o TFMPvalue_init.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TFMpvalue.cpp -o TFMpvalue.o TFMpvalue.cpp: In function ‘void testLazyDistrib(Matrix, double, double)’: TFMpvalue.cpp:119:13: warning: unused variable ‘totalSize’ [-Wunused-variable] 119 | qlonglong totalSize = 0; | ^~~~~~~~~ TFMpvalue.cpp:120:13: warning: unused variable ‘totalOp’ [-Wunused-variable] 120 | qlonglong totalOp = 0; | ^~~~~~~ TFMpvalue.cpp: In function ‘void testFastPvalue(Matrix, double, double)’: TFMpvalue.cpp:185:13: warning: unused variable ‘totalSize’ [-Wunused-variable] 185 | qlonglong totalSize = 0; | ^~~~~~~~~ TFMpvalue.cpp:186:13: warning: unused variable ‘totalOp’ [-Wunused-variable] 186 | qlonglong totalOp = 0; | ^~~~~~~ TFMpvalue.cpp:190:10: warning: unused variable ‘pvalue’ [-Wunused-variable] 190 | double pvalue = m.fastPvalue(&m,(qlonglong)(score * m.granularity + m.offset)); | ^~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o TFMPvalue.so ArgumentException.o FileException.o Matrix.o ParseException.o TFMMain.o TFMPvalue_init.o TFMpvalue.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpoSY5TR/R.INSTALL20f1fe4f81d53f/TFMPvalue/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-TFMPvalue/00new/TFMPvalue/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TFMPvalue) begin installing package ‘spaMM’ * installing *source* package ‘enrichR’ ... ** this is package ‘enrichR’ version ‘3.4’ ** package ‘enrichR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (enrichR) begin installing package ‘scSpatialSIM’ * installing *source* package ‘AnnotationFilter’ ... ** this is package ‘AnnotationFilter’ version ‘1.34.0’ ** package ‘AnnotationFilter’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (AnnotationFilter) begin installing package ‘graphite’ * installing *source* package ‘gprofiler2’ ... ** this is package ‘gprofiler2’ version ‘0.2.4’ ** package ‘gprofiler2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gprofiler2) begin installing package ‘hdf5r.Extra’ * installing *source* package ‘leiden’ ... ** this is package ‘leiden’ version ‘0.4.3.1’ ** package ‘leiden’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (leiden) begin installing package ‘argparse’ * installing *source* package ‘wrswoR’ ... ** this is package ‘wrswoR’ version ‘1.2.0’ ** package ‘wrswoR’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpTnlFFK/R.INSTALL20f740286c2e8c/wrswoR/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sample_int_crank.cpp -o sample_int_crank.o 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o wrswoR.so RcppExports.o sample_int_crank.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpTnlFFK/R.INSTALL20f740286c2e8c/wrswoR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-wrswoR/00new/wrswoR/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (wrswoR) begin installing package ‘kmer’ * installing *source* package ‘ttservice’ ... ** this is package ‘ttservice’ version ‘0.5.3’ ** package ‘ttservice’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ttservice) begin installing package ‘metap’ * installing *source* package ‘ggpolypath’ ... ** this is package ‘ggpolypath’ version ‘0.4.0’ ** package ‘ggpolypath’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggpolypath) begin installing package ‘TFBSTools’ * installing *source* package ‘scSpatialSIM’ ... ** this is package ‘scSpatialSIM’ version ‘0.1.3.4’ ** package ‘scSpatialSIM’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scSpatialSIM) begin installing package ‘spatialTIME’ * installing *source* package ‘EnhancedVolcano’ ... ** this is package ‘EnhancedVolcano’ version ‘1.28.2’ ** package ‘EnhancedVolcano’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (EnhancedVolcano) begin installing package ‘sankey’ * installing *source* package ‘iNEXT’ ... ** this is package ‘iNEXT’ version ‘3.0.2’ ** package ‘iNEXT’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpYpDlSE/R.INSTALL20f478621899a9/iNEXT/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subfuns.cpp -o subfuns.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o iNEXT.so RcppExports.o subfuns.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpYpDlSE/R.INSTALL20f478621899a9/iNEXT/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-iNEXT/00new/iNEXT/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iNEXT) begin installing package ‘ontologyPlot’ * installing *source* package ‘sankey’ ... ** this is package ‘sankey’ version ‘1.0.2’ ** package ‘sankey’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sankey) begin installing package ‘wordspace’ * installing *source* package ‘argparse’ ... ** this is package ‘argparse’ version ‘2.3.1’ ** package ‘argparse’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** exec ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (argparse) begin installing package ‘ensembldb’ * installing *source* package ‘SpatEntropy’ ... ** this is package ‘SpatEntropy’ version ‘2.2-4’ ** package ‘SpatEntropy’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SpatEntropy) * installing *source* package ‘decoupleR’ ... ** this is package ‘decoupleR’ version ‘2.16.0’ ** package ‘decoupleR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (decoupleR) * installing *source* package ‘ontologyPlot’ ... ** this is package ‘ontologyPlot’ version ‘1.7’ ** package ‘ontologyPlot’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ontologyPlot) * installing *source* package ‘spatialTIME’ ... ** this is package ‘spatialTIME’ version ‘1.3.4-5’ ** package ‘spatialTIME’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spatialTIME) * installing *source* package ‘hdf5r.Extra’ ... ** this is package ‘hdf5r.Extra’ version ‘0.1.0’ ** package ‘hdf5r.Extra’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hdf5r.Extra) begin installing package ‘RcppPlanc’ * installing *source* package ‘metap’ ... ** this is package ‘metap’ version ‘1.12’ ** package ‘metap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (metap) * installing *source* package ‘kmer’ ... ** this is package ‘kmer’ version ‘1.1.2’ ** package ‘kmer’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpYMoJFG/R.INSTALL2100503ac37ffe/kmer/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distance.cpp -o distance.o distance.cpp: In function ‘Rcpp::NumericMatrix kcountDNA(Rcpp::List, int)’: distance.cpp:10:6: warning: unnecessary parentheses in declaration of ‘fourtopowerk’ [-Wparentheses] 10 | int(fourtopowerk) = 1; | ^~~~~~~~~~~~~~ distance.cpp:10:6: note: remove parentheses 10 | int(fourtopowerk) = 1; | ^~~~~~~~~~~~~~ | - - g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o kmer.so RcppExports.o distance.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpYMoJFG/R.INSTALL2100503ac37ffe/kmer/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-kmer/00new/kmer/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kmer) * installing *source* package ‘refund.shiny’ ... ** this is package ‘refund.shiny’ version ‘1.1’ ** package ‘refund.shiny’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (refund.shiny) * installing *source* package ‘TrajectoryUtils’ ... ** this is package ‘TrajectoryUtils’ version ‘1.18.0’ ** package ‘TrajectoryUtils’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TrajectoryUtils) begin installing package ‘slingshot’ * installing *source* package ‘graphite’ ... ** this is package ‘graphite’ version ‘1.56.0’ ** package ‘graphite’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (graphite) * installing *source* package ‘dittoSeq’ ... ** this is package ‘dittoSeq’ version ‘1.22.0’ ** package ‘dittoSeq’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dittoSeq) * installing *source* package ‘phyclust’ ... ** this is package ‘phyclust’ version ‘0.1-34’ ** package ‘phyclust’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMCnHQr/R.INSTALL20f21577234ef5/phyclust/src' gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust.c -o R_phyclust.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_edist.c -o R_phyclust_edist.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_em_step.c -o R_phyclust_em_step.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_find_consensus.c -o R_phyclust_find_consensus.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_label.c -o R_phyclust_label.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_logL.c -o R_phyclust_logL.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_logPt.c -o R_phyclust_logPt.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_qmatrix.c -o R_phyclust_qmatrix.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_se.c -o R_phyclust_se.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_se_update.c -o R_phyclust_se_update.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_struct.c -o R_phyclust_struct.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_phyclust_update.c -o R_phyclust_update.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c RRand.c -o RRand.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_RRand.c -o R_RRand.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c zzz.c -o zzz.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_ape_nj.c -o phyclust/phyclust_ape_nj.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_edist.c -o phyclust/phyclust_edist.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_control.c -o phyclust/phyclust_em_control.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_fp.c -o phyclust/phyclust_em_fp.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_phyclust_struct.c -o phyclust/phyclust_em_phyclust_struct.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_step.c -o phyclust/phyclust_em_step.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_em_tool.c -o phyclust/phyclust_em_tool.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_file_input.c -o phyclust/phyclust_file_input.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method.c -o phyclust/phyclust_init_method.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method_ex.c -o phyclust/phyclust_init_method_ex.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method_kmed.c -o phyclust/phyclust_init_method_kmed.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method_nj.c -o phyclust/phyclust_init_method_nj.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_method_pam.c -o phyclust/phyclust_init_method_pam.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_init_procedure.c -o phyclust/phyclust_init_procedure.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_label.c -o phyclust/phyclust_label.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_logpL.c -o phyclust/phyclust_logpL.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_optim_nmmin.c -o phyclust/phyclust_optim_nmmin.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_pam.c -o phyclust/phyclust_pam.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_qmatrix_array.c -o phyclust/phyclust_qmatrix_array.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_qmatrix.c -o phyclust/phyclust_qmatrix.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_convolution_em_step.c -o phyclust/phyclust_se_convolution_em_step.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_convolution_em_tool.c -o phyclust/phyclust_se_convolution_em_tool.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_convolution_logpL.c -o phyclust/phyclust_se_convolution_logpL.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_em_fp.c -o phyclust/phyclust_se_em_fp.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_em_phyclust_struct.c -o phyclust/phyclust_se_em_phyclust_struct.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_em_tool.c -o phyclust/phyclust_se_em_tool.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_pmatrix.c -o phyclust/phyclust_se_pmatrix.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_se_struct.c -o phyclust/phyclust_se_struct.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_struct.c -o phyclust/phyclust_struct.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phyclust/phyclust_tool.c -o phyclust/phyclust_tool.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/ms.c -o msdir/ms.o msdir/ms.c: In function ‘gensam’: msdir/ms.c:291:4: warning: this ‘else’ clause does not guard... [-Wmisleading-indentation] 291 | else if( segsitesin > 0 ) { | ^~~~ msdir/ms.c:337:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘else’ 337 | free(seglst); | ^~~~ msdir/ms.c: In function ‘gasdev’: msdir/ms.c:1149:22: warning: variable ‘gset’ set but not used [-Wunused-but-set-variable] 1149 | static float gset; | ^~~~ gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/ms_main.c -o msdir/ms_main.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/R_ms_main.c -o msdir/R_ms_main.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/R_rand.c -o msdir/R_rand.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c msdir/streec.c -o msdir/streec.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/aamodels.c -o seq-gen/aamodels.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/eigen.c -o seq-gen/eigen.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/evolve.c -o seq-gen/evolve.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/gamma.c -o seq-gen/gamma.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/global.c -o seq-gen/global.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/model.c -o seq-gen/model.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/nucmodels.c -o seq-gen/nucmodels.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/R_seq-gen_main.c -o seq-gen/R_seq-gen_main.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/seq-gen.c -o seq-gen/seq-gen.o seq-gen/seq-gen.c: In function ‘ReadFileParams’: seq-gen/seq-gen.c:715:15: warning: variable ‘i’ set but not used [-Wunused-but-set-variable] 715 | char *i; //WCC:add | ^ gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/treefile.c -o seq-gen/treefile.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c seq-gen/twister.c -o seq-gen/twister.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D__HAVE_R_ -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c paml_baseml/baseml.c -o paml_baseml/baseml.o In file included from paml_baseml/baseml.c:130: paml_baseml/treesub.c: In function ‘ReadSeq’: paml_baseml/treesub.c:164:10: warning: variable ‘tmp_c’ set but not used [-Wunused-but-set-variable] 164 | char *tmp_c; | ^~~~~ paml_baseml/treesub.c:163:8: warning: variable ‘tmp’ set but not used [-Wunused-but-set-variable] 163 | int tmp; | ^~~ paml_baseml/treesub.c:160:9: warning: variable ‘str’ set but not used [-Wunused-but-set-variable] 160 | char str[4]=" "; | ^~~ paml_baseml/treesub.c:158:10: warning: variable ‘b’ set but not used [-Wunused-but-set-variable] 158 | int h,b[3]={0}; | ^ paml_baseml/treesub.c: In function ‘IdenticalSeqs’: paml_baseml/treesub.c:806:17: warning: variable ‘same’ set but not used [-Wunused-but-set-variable] 806 | int is,js,h, same,nkept=com.ns; | ^~~~ paml_baseml/treesub.c: In function ‘DistanceIJ’: paml_baseml/treesub.c:1709:16: warning: variable ‘missing’ set but not used [-Wunused-but-set-variable] 1709 | int h, n=4, missing=0; | ^~~~~~~ paml_baseml/treesub.c: In function ‘ReadTreeB’: paml_baseml/treesub.c:2393:10: warning: variable ‘tmp_c’ set but not used [-Wunused-but-set-variable] 2393 | char *tmp_c; //WCC:add | ^~~~~ paml_baseml/treesub.c:2392:8: warning: variable ‘tmp’ set but not used [-Wunused-but-set-variable] 2392 | int tmp; //WCC:add | ^~~ paml_baseml/treesub.c: In function ‘ReadTreeN’: paml_baseml/treesub.c:2601:10: warning: variable ‘tmp_c’ set but not used [-Wunused-but-set-variable] 2601 | char *tmp_c; //WCC:add | ^~~~~ paml_baseml/treesub.c:2600:8: warning: variable ‘tmp’ set but not used [-Wunused-but-set-variable] 2600 | int tmp; //WCC:add | ^~~ paml_baseml/treesub.c: In function ‘GetInitialsTimes’: paml_baseml/treesub.c:3417:10: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 3417 | for(i=0; iUNREST) GetStepMatrix(line); break; | ^~ paml_baseml/baseml.c:879:62: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 879 | if(com.model>UNREST) GetStepMatrix(line); break; | ^~~~~ paml_baseml/baseml.c: In function ‘SetxBound’: paml_baseml/paml.h:20:18: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 20 | #define FOR(i,n) for(i=0; i Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ 77 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 713 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:387:24: required from ‘Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]’ 387 | return ans; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/as.h:89:32: required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 89 | return exporter.get(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 152 | return internal::as(x, typename traits::r_type_traits::r_category()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:34:43: required from ‘Rcpp::InputParameter::operator T() [with T = Eigen::SparseMatrix]’ 34 | inline operator T() { return as(x) ; } | ~~~~~^~~ RcppExports.cpp:20:56: required from here 20 | rcpp_result_gen = Rcpp::wrap(GraphToNeighborHelper(mat)); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c data_manipulation.cpp -o data_manipulation.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from data_manipulation.cpp:1: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ data_manipulation.cpp:27:22: required from here 27 | mat = mat.transpose(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ data_manipulation.cpp:33:26: required from here 33 | Eigen::MatrixXd nn_idx(mat.rows(), n); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ data_manipulation.cpp:33:26: required from here 33 | Eigen::MatrixXd nn_idx(mat.rows(), n); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ data_manipulation.cpp:83:80: required from here 83 | mat_vec.emplace_back(Rcpp::as>(mat_list.at(i))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ data_manipulation.cpp: In function ‘Eigen::SparseMatrix RowMergeMatricesList(Rcpp::List, Rcpp::List, std::vector >)’: data_manipulation.cpp:102:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | for(int j = 0; j < mat_vec.size(); j++) { | ~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::internal::IteratorBased, double>’ 58 | typedef typename evaluator::InnerIterator EvalIterator; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ data_manipulation.cpp:27:23: required from here 27 | mat = mat.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ data_manipulation.cpp:111:31: required from here 111 | combined_mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c valid_pointer.c -o valid_pointer.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o SeuratObject.so RcppExports.o data_manipulation.o valid_pointer.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpuLTH9t/R.INSTALL20f2162d4d3739/SeuratObject/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-SeuratObject/00new/SeuratObject/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SeuratObject) begin installing package ‘sccore’ begin installing package ‘Nebulosa’ begin installing package ‘infercnv’ * installing *source* package ‘wordspace’ ... ** this is package ‘wordspace’ version ‘0.2-9’ ** package ‘wordspace’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpYHJxjW/R.INSTALL2101e87d98fb57/wordspace/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c wordspace.cpp -o wordspace.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o wordspace.so RcppExports.o wordspace.o -fopenmp -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpYHJxjW/R.INSTALL2101e87d98fb57/wordspace/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-wordspace/00new/wordspace/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (wordspace) * installing *source* package ‘SharedObject’ ... ** this is package ‘SharedObject’ version ‘1.24.0’ ** package ‘SharedObject’ successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... gcc-15 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc-15 accepts -g... yes checking for gcc-15 option to accept ISO C89... none needed checking for shm_open in -lrt... yes configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpnqdYU5/R.INSTALL20f9fd11a2e68e/SharedObject/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c C_interface.cpp -o C_interface.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c altrep.cpp -o altrep.o altrep.cpp: In function ‘SEXPREC* createSharedStringFromSource(SEXP, bool, SEXP)’: altrep.cpp:146:69: warning: format ‘%llu’ expects argument of type ‘long long unsigned int’, but argument 2 has type ‘long unsigned int’ [-Wformat=] 146 | Rf_error("Something is wrong with the unit size: %llu\n", unitSize); | ~~~^ ~~~~~~~~ | | | | | long unsigned int | long long unsigned int | %lu altrep.cpp: In function ‘SEXPREC* unshareString(SEXP, SEXP)’: altrep.cpp:241:98: warning: format ‘%llu’ expects argument of type ‘long long unsigned int’, but argument 2 has type ‘uint64_t’ {aka ‘long unsigned int’} [-Wformat=] 241 | Rf_error("Unknown unit size in the unshareString function, unit size: %llu", (uint64_t)unitSize); | ~~~^ ~~~~~~~~~~~~~~~~~~ | | | | | uint64_t {aka long unsigned int} | long long unsigned int | %lu g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c altrepRegistration.cpp -o altrepRegistration.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numericAltrepOperations.cpp -o numericAltrepOperations.o numericAltrepOperations.cpp: In function ‘Rboolean sharedVector_Inspect(SEXP, int, int, int, void (*)(SEXP, int, int, int))’: numericAltrepOperations.cpp:13:27: warning: format ‘%llu’ expects argument of type ‘long long unsigned int’, but argument 2 has type ‘R_xlen_t’ {aka ‘long int’} [-Wformat=] 13 | Rprintf(" (len=%llu, type=%d, COW=%d, SC=%d, SS=%d) shared object ID:%s\n", Rf_xlength(x), TYPEOF(x), | ~~~^ ~~~~~~~~~~~~~ | | | | long long unsigned int R_xlen_t {aka long int} | %lu g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sharedMemory.cpp -o sharedMemory.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sharedObjectClass.cpp -o sharedObjectClass.o sharedObjectClass.cpp: In function ‘void validate_shared_memory(std::string, boost::interprocess::shared_memory_object*)’: sharedObjectClass.cpp:73:14: warning: comparison of integer expressions of different signedness: ‘boost::interprocess::offset_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 73 | if (size > free_size) | ~~~~~^~~~~~~~~~~ sharedObjectClass.cpp:93:62: warning: format ‘%llu’ expects argument of type ‘long long unsigned int’, but argument 3 has type ‘uint64_t’ {aka ‘long unsigned int’} [-Wformat=] 93 | "Testing shared memory failed, key: %s, size: %lluB.\n" | ~~~^ | | | long long unsigned int | %lu ...... 96 | key.c_str(), (uint64_t)size); | ~~~~~~~~~~~~~~ | | | uint64_t {aka long unsigned int} In function ‘uint64_t get_size(boost::interprocess::shared_memory_object*)’, inlined from ‘void SharedObjectClass::openSharedMemoryHandle()’ at sharedObjectClass.cpp:121:20: sharedObjectClass.cpp:29:12: warning: ‘size’ may be used uninitialized [-Wmaybe-uninitialized] 29 | return size; | ^~~~ sharedObjectClass.cpp: In member function ‘void SharedObjectClass::openSharedMemoryHandle()’: sharedObjectClass.cpp:27:14: note: ‘size’ was declared here 27 | offset_t size; | ^~~~ sharedObjectClass.cpp: In member function ‘size_t SharedObjectClass::getSharedMemorySize()’: sharedObjectClass.cpp:27:14: warning: ‘size’ may be used uninitialized [-Wmaybe-uninitialized] In function ‘uint64_t get_size(boost::interprocess::shared_memory_object*)’, inlined from ‘size_t SharedObjectClass::getSharedMemorySize()’ at sharedObjectClass.cpp:141:24: sharedObjectClass.cpp:29:12: warning: ‘size’ may be used uninitialized [-Wmaybe-uninitialized] 29 | return size; | ^~~~ sharedObjectClass.cpp: In member function ‘size_t SharedObjectClass::getSharedMemorySize()’: sharedObjectClass.cpp:27:14: note: ‘size’ was declared here 27 | offset_t size; | ^~~~ In function ‘uint64_t get_size(boost::interprocess::shared_memory_object*)’, inlined from ‘void SharedObjectClass::allocateSharedMemory()’ at sharedObjectClass.cpp:228:20: sharedObjectClass.cpp:29:12: warning: ‘size’ may be used uninitialized [-Wmaybe-uninitialized] 29 | return size; | ^~~~ sharedObjectClass.cpp: In member function ‘void SharedObjectClass::allocateSharedMemory()’: sharedObjectClass.cpp:27:14: note: ‘size’ was declared here 27 | offset_t size; | ^~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stringAltrepOperations.cpp -o stringAltrepOperations.o stringAltrepOperations.cpp: In function ‘Rboolean sharedString_Inspect(SEXP, int, int, int, void (*)(SEXP, int, int, int))’: stringAltrepOperations.cpp:13:23: warning: format ‘%llu’ expects argument of type ‘long long unsigned int’, but argument 2 has type ‘R_xlen_t’ {aka ‘long int’} [-Wformat=] 13 | Rprintf(" (len=%llu, COW=%d) shared string object\n", Rf_xlength(x), | ~~~^ ~~~~~~~~~~~~~ | | | | long long unsigned int R_xlen_t {aka long int} | %lu g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o SharedObject.so C_interface.o RcppExports.o altrep.o altrepRegistration.o numericAltrepOperations.o sharedMemory.o sharedObjectClass.o stringAltrepOperations.o utils.o -lrt -L/home/hornik/tmp/R-d-gcc-15/lib -lR mkdir -p ../inst/include&&\ mkdir -p ../inst/include/SharedObject&&\ mkdir -p ../inst/usrlib ar -crv SharedObject.a C_interface.o RcppExports.o altrep.o altrepRegistration.o numericAltrepOperations.o sharedMemory.o sharedObjectClass.o stringAltrepOperations.o utils.o a - C_interface.o a - RcppExports.o a - altrep.o a - altrepRegistration.o a - numericAltrepOperations.o a - sharedMemory.o a - sharedObjectClass.o a - stringAltrepOperations.o a - utils.o cp "sharedMemory.h" "../inst/include/SharedObject/"&&\ cp SharedObject.a "../inst/usrlib/" make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpnqdYU5/R.INSTALL20f9fd11a2e68e/SharedObject/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-SharedObject/00new/SharedObject/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SharedObject) * installing *source* package ‘MAST’ ... ** this is package ‘MAST’ version ‘1.36.0’ ** package ‘MAST’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MAST) * installing *source* package ‘slingshot’ ... ** this is package ‘slingshot’ version ‘2.18.0’ ** package ‘slingshot’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading in method for ‘slingshot’ with signature ‘data="ClusterExperiment"’: no definition for class “ClusterExperiment” ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (slingshot) * installing *source* package ‘DDRTree’ ... ** this is package ‘DDRTree’ version ‘0.1.5’ ** package ‘DDRTree’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpQ8eDxO/R.INSTALL20f1ec6156639a/DDRTree/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DDRTree.cpp -o DDRTree.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from DDRTree.h:5, from DDRTree.cpp:1: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/scoped_ptr.hpp:13, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/adjacency_list.hpp:22, from DDRTree.cpp:4: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/smart_ptr/scoped_ptr.hpp:75:31: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 75 | explicit scoped_ptr( std::auto_ptr p ) noexcept : px( p.release() ) | ^~~~~~~~ In file included from /usr/include/c++/15/memory:80, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/container_hash/hash.hpp:40, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/functional/hash.hpp:6, from DDRTree.cpp:3: /usr/include/c++/15/bits/unique_ptr.h:58:28: note: declared here 58 | template class auto_ptr; | ^~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_categories.hpp:16, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_traits.hpp:25, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/adjacency_list.hpp:24: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:17, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/vector_property_map.hpp:14, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:598, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/adjacency_list.hpp:27: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/smart_ptr/detail/shared_count.hpp:326:33: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 326 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ /usr/include/c++/15/bits/unique_ptr.h:58:28: note: declared here 58 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:354:31: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 354 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ /usr/include/c++/15/bits/unique_ptr.h:58:28: note: declared here 58 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:365:22: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 365 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ /usr/include/c++/15/bits/unique_ptr.h:58:28: note: declared here 58 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:423:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 423 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ /usr/include/c++/15/bits/unique_ptr.h:58:28: note: declared here 58 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:430:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 430 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ /usr/include/c++/15/bits/unique_ptr.h:58:28: note: declared here 58 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:432:38: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 432 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ /usr/include/c++/15/bits/unique_ptr.h:58:28: note: declared here 58 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:28:21: required from here 28 | Map C(Rcpp_C.begin(), n, p); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:28:21: required from here 28 | Map C(Rcpp_C.begin(), n, p); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ DDRTree.cpp:28:21: required from here 28 | Map C(Rcpp_C.begin(), n, p); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:229:22: required from ‘class Eigen::RealSchur >’ 229 | ColumnVectorType m_workspaceVector; | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from ‘class Eigen::EigenSolver >’ 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ DDRTree.cpp:36:30: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from ‘class Eigen::HessenbergDecomposition >’ 277 | VectorType m_temp; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from ‘class Eigen::RealSchur >’ 230 | HessenbergDecomposition m_hess; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from ‘class Eigen::EigenSolver >’ 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ DDRTree.cpp:36:30: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >, Eigen::Matrix, -1, -1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ DDRTree.cpp:38:44: required from here 38 | MatrixXd eVecs = es.eigenvectors().real(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ DDRTree.cpp:39:43: required from here 39 | VectorXd eVals = es.eigenvalues().real(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ DDRTree.cpp:52:23: required from here 52 | sortedEigs.col(i)=eVecs.col(D[i].second); | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ DDRTree.cpp:85:27: required from here 85 | VectorXd aa = (a.array() * a.array()).colwise().sum(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:85:40: required from here 85 | VectorXd aa = (a.array() * a.array()).colwise().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ DDRTree.cpp:85:56: required from here 85 | VectorXd aa = (a.array() * a.array()).colwise().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ DDRTree.cpp:87:30: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ DDRTree.cpp:87:35: required from here 87 | MatrixXd ab = a.transpose() * b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ DDRTree.cpp:102:22: required from here 102 | bb_repmat.row(i) = bb; | ~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:106:21: required from here 106 | W = aa_repmat + bb_repmat - 2 * ab; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:106:37: required from here 106 | W = aa_repmat + bb_repmat - 2 * ab; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:106:37: required from here 106 | W = aa_repmat + bb_repmat - 2 * ab; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:106:37: required from here 106 | W = aa_repmat + bb_repmat - 2 * ab; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ DDRTree.cpp:110:16: required from here 110 | W = W.array().abs().matrix(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ DDRTree.cpp:110:22: required from here 110 | W = W.array().abs().matrix(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ DDRTree.cpp:110:31: required from here 110 | W = W.array().abs().matrix(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ DDRTree.cpp: In function ‘void DDRTree_reduce_dim_cpp(const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, int, int, int, double, double, double, double, bool, Eigen::MatrixXd&, SpMat&, Eigen::MatrixXd&, Eigen::MatrixXd&, std::vector&)’: DDRTree.cpp:165:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 165 | for (std::size_t j = 0; j < Y_in.cols(); ++j) { | ~~^~~~~~~~~~~~~ DDRTree.cpp:166:35: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 166 | for (std::size_t i = 0; i < Y_in.cols() && i <= j ; ++i) { | ~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ DDRTree.cpp:176:32: required from here 176 | MatrixXd B = MatrixXd::Zero(Y_in.cols(), Y_in.cols()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ DDRTree.cpp:276:28: required from here 276 | L = B.colwise().sum().asDiagonal(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:277:17: required from here 277 | L = L - B; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_minCoeff, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ DDRTree.cpp:291:61: required from here 291 | VectorXd distZY_minCoeff = distZY.rowwise().minCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:307:51: required from here 307 | tmp_R = tmp_distZY.array() / (-1.0 * sigma); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:307:51: required from here 307 | tmp_R = tmp_distZY.array() / (-1.0 * sigma); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ DDRTree.cpp:310:34: required from here 310 | tmp_R = tmp_R.array().exp().matrix(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ DDRTree.cpp:310:43: required from here 310 | tmp_R = tmp_R.array().exp().matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ DDRTree.cpp:316:54: required from here 316 | VectorXd tmp_R_rowsums = tmp_R.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:323:38: required from here 323 | R = (tmp_R.array() / R.array()).matrix(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ DDRTree.cpp:323:47: required from here 323 | R = (tmp_R.array() / R.array()).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ DDRTree.cpp:331:23: required from here 331 | Gamma.diagonal() = R.colwise().sum(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ DDRTree.cpp:336:56: required from here 336 | VectorXd x1 = (tmp_distZY.array() / -sigma).exp().rowwise().sum().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ DDRTree.cpp:336:72: required from here 336 | VectorXd x1 = (tmp_distZY.array() / -sigma).exp().rowwise().sum().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ DDRTree.cpp:336:78: required from here 336 | VectorXd x1 = (tmp_distZY.array() / -sigma).exp().rowwise().sum().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:338:56: required from here 338 | double obj1 = -sigma * (x1 - min_dist.col(0) / sigma).sum(); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:338:56: required from here 338 | double obj1 = -sigma * (x1 - min_dist.col(0) / sigma).sum(); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:338:56: required from here 338 | double obj1 = -sigma * (x1 - min_dist.col(0) / sigma).sum(); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ DDRTree.cpp:349:83: required from here 349 | double major_eigen_value = as(get_major_eigenvalue(X_in - W_out * Z_out,dimensions)); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:349:83: required from here 349 | double major_eigen_value = as(get_major_eigenvalue(X_in - W_out * Z_out,dimensions)); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ DDRTree.cpp:358:60: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ DDRTree.cpp:358:61: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ DDRTree.cpp:358:72: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:383:45: required from here 383 | tmp = ((Gamma + (L * (lambda / gamma))) * ((gamma + 1.0) / gamma)).sparseView(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:383:46: required from here 383 | tmp = ((Gamma + (L * (lambda / gamma))) * ((gamma + 1.0) / gamma)).sparseView(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:383:73: required from here 383 | tmp = ((Gamma + (L * (lambda / gamma))) * ((gamma + 1.0) / gamma)).sparseView(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 45 | class SparseView : public SparseMatrixBase > | ^~~~~~~~~~ DDRTree.cpp:383:86: required from here 383 | tmp = ((Gamma + (L * (lambda / gamma))) * ((gamma + 1.0) / gamma)).sparseView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ 45 | class SparseView : public SparseMatrixBase > | ^~~~~~~~~~ DDRTree.cpp:390:46: required from here 390 | SparseMatrix R_sp = R.sparseView(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ DDRTree.cpp:391:33: required from here 391 | tmp = tmp - (R_sp.transpose() * R_sp); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ DDRTree.cpp:391:38: required from here 391 | tmp = tmp - (R_sp.transpose() * R_sp); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:391:42: required from here 391 | tmp = tmp - (R_sp.transpose() * R_sp); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level >, Eigen::Transpose > > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ DDRTree.cpp:406:55: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ DDRTree.cpp:406:55: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Transpose > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ DDRTree.cpp:406:80: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ DDRTree.cpp:411:37: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, Eigen::AMDOrdering >, Eigen::Transpose > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ DDRTree.cpp:411:62: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:468:56: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ DDRTree.cpp:468:65: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:498:69: required from here 498 | NumericMatrix W_R = pca_projection_R((tmp1 + tmp1.transpose()) / 2,dimensions); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:498:74: required from here 498 | NumericMatrix W_R = pca_projection_R((tmp1 + tmp1.transpose()) / 2,dimensions); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DDRTree.cpp:515:40: required from here 515 | Y_out = L * (lambda / gamma) + Gamma; | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ DDRTree.cpp:516:56: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose, Eigen::Matrix, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ DDRTree.cpp:516:34: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose, Eigen::Matrix, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ DDRTree.cpp:516:69: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ DDRTree.cpp:155:59: warning: typedef ‘EdgeWeightProperty’ locally defined but not used [-Wunused-local-typedefs] 155 | typedef boost::property EdgeWeightProperty; | ^~~~~~~~~~~~~~~~~~ DDRTree.cpp:160:62: warning: typedef ‘Vertex’ locally defined but not used [-Wunused-local-typedefs] 160 | typedef boost::graph_traits < Graph >::vertex_descriptor Vertex; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:357:32: required from ‘Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix; EigenvectorsType = Eigen::Matrix, -1, -1>]’ 357 | matV.col(j) = m_eivec.col(j).template cast(); | ~~~~~~~~~~~^~~ DDRTree.cpp:38:37: required from here 38 | MatrixXd eVecs = es.eigenvectors().real(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1194 | OtherCopy otherCopy(other.derived()); | ^~~~~~~~~ DDRTree.cpp:383:87: required from here 383 | tmp = ((Gamma + (L * (lambda / gamma))) * ((gamma + 1.0) / gamma)).sparseView(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1195 | OtherCopyEval otherCopyEval(otherCopy); | ^~~~~~~~~~~~~ DDRTree.cpp:383:87: required from here 383 | tmp = ((Gamma + (L * (lambda / gamma))) * ((gamma + 1.0) / gamma)).sparseView(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:64:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ 64 | typedef typename evaluator::InnerIterator LhsIterator; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ DDRTree.cpp:391:42: required from here 391 | tmp = tmp - (R_sp.transpose() * R_sp); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:338:66: required from here 338 | double obj1 = -sigma * (x1 - min_dist.col(0) / sigma).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 1613 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1040 | SparseMatrix trMat(mat.rows(),mat.cols()); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:539:26: required from here 539 | stree.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:34: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:492:76: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:598:25: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 598 | m_matT.block(i, n-1, size-i, 2) /= t; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:39: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, -1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, -1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, -1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, -1, -1>, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, -1, -1>, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1>, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: required from ‘void Eigen::MatrixBase::normalize() [with Derived = Eigen::Block, -1, -1>, -1, 1, true>]’ 147 | RealScalar z = squaredNorm(); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:358:28: required from ‘Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix; EigenvectorsType = Eigen::Matrix, -1, -1>]’ 358 | matV.col(j).normalize(); | ~~~~~~~~~~~~~~~~~~~~~^~ DDRTree.cpp:38:37: required from here 38 | MatrixXd eVecs = es.eigenvectors().real(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:307:51: required from here 307 | tmp_R = tmp_distZY.array() / (-1.0 * sigma); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:539:26: required from here 539 | stree.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:525:40: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 525 | m_matT.col(n).tail(size-i) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, member_sum, 0>; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:85:56: required from here 85 | VectorXd aa = (a.array() * a.array()).colwise().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:102:28: required from here 102 | bb_repmat.row(i) = bb; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal, 0>; Src = Eigen::PartialReduxExpr, member_sum, 0>; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Diagonal, 0>; Src = Eigen::PartialReduxExpr, member_sum, 0>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Diagonal, 0>; Src = Eigen::PartialReduxExpr, member_sum, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Diagonal, 0>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:331:44: required from here 331 | Gamma.diagonal() = R.colwise().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:338:66: required from here 338 | double obj1 = -sigma * (x1 - min_dist.col(0) / sigma).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:165:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 165 | Map::type> tmp(workspace,rows()); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:166:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 166 | Block right(derived(), 0, 1, rows(), cols()-1); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 168 | tmp += this->col(0); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 127 | Map::type> tmp(workspace,cols()); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:512:37: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 512 | v = m_matT.template block<3,1>(k,k-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:515:26: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 515 | Matrix ess; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:515:26: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 515 | Matrix ess; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:533:54: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 533 | Matrix v = m_matT.template block<2,1>(iu-1, iu-2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:535:24: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 535 | Matrix ess; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:535:24: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 535 | Matrix ess; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:106: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:106: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ 30 | C = A.transpose(); // NOTE: Could be costly | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ 63 | internal::ordering_helper_at_plus_a(mat,symm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ DDRTree.cpp:401:23: required from here 401 | solver.compute(tmp); | ~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ 36 | symmat = C + A; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ 63 | internal::ordering_helper_at_plus_a(mat,symm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ DDRTree.cpp:401:23: required from here 401 | solver.compute(tmp); | ~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from ‘Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ 892 | return setIdentity(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:263:25: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 263 | m_matU.setIdentity(matrix.rows(),matrix.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:19: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator<__gnu_cxx::__normal_iterator > >’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:20: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator<__gnu_cxx::__normal_iterator > >’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: required from ‘struct boost::InputIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::InputIterator<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:543:7: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::ForwardIterator<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:571:7: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:253:5: required from ‘struct boost::Comparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Comparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:601:7: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/aux_/integral_wrapper.hpp:22, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/int.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/lambda_fwd.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_spec.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/if.hpp:19, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_traits.hpp:17: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:17: note: in a call to non-static member function ‘boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >::~RandomAccessIteratorConcept()’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/preprocessor/cat.hpp:29:34: note: in definition of macro ‘BOOST_PP_CAT_I’ 29 | # define BOOST_PP_CAT_I(a, b) a ## b | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/concept_def.hpp:23:12: note: in expansion of macro ‘BOOST_PP_CAT’ 23 | struct BOOST_PP_CAT(name,Concept) \ | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: note: in expansion of macro ‘BOOST_concept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ 1632 | return m_argImpl.coeff(row + rowOffset(), row + colOffset()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ 1632 | return m_argImpl.coeff(row + rowOffset(), row + colOffset()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ 1632 | return m_argImpl.coeff(row + rowOffset(), row + colOffset()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ 1632 | return m_argImpl.coeff(row + rowOffset(), row + colOffset()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block, -1, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, std::complex >’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, const Eigen::Block, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Functor = assign_op, std::complex >]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Functor = Eigen::internal::assign_op, std::complex >; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Func = assign_op, std::complex >]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Func = assign_op, std::complex >; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, -1>, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:357:19: required from ‘Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix; EigenvectorsType = Eigen::Matrix, -1, -1>]’ 357 | matV.col(j) = m_eivec.col(j).template cast(); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:38:37: required from here 38 | MatrixXd eVecs = es.eigenvectors().real(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator<__gnu_cxx::__normal_iterator > >’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Assignable::~Assignable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 145 | BOOST_CONCEPT_USAGE(Assignable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator<__gnu_cxx::__normal_iterator > >’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::InputIterator<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: required from ‘struct boost::InputIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::InputIterator::~InputIterator() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 512 | BOOST_CONCEPT_USAGE(InputIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::ForwardIterator<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:543:7: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::ForwardIterator::~ForwardIterator() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:543:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 543 | BOOST_CONCEPT_USAGE(ForwardIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:571:7: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::BidirectionalIterator::~BidirectionalIterator() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:571:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 571 | BOOST_CONCEPT_USAGE(BidirectionalIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Comparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:253:5: required from ‘struct boost::Comparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Comparable::~Comparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:253:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 253 | BOOST_CONCEPT_USAGE(Comparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:601:7: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::RandomAccessIterator::~RandomAccessIterator() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:601:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 601 | BOOST_CONCEPT_USAGE(RandomAccessIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:54: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:603:11: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:603:11: required from ‘boost::RandomAccessIterator::~RandomAccessIterator() [with TT = __gnu_cxx::__normal_iterator >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::RandomAccessIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = std::random_access_iterator_tag; Y = std::random_access_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ 1632 | return m_argImpl.coeff(row + rowOffset(), row + colOffset()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ 1632 | return m_argImpl.coeff(row + rowOffset(), row + colOffset()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 217 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 231 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 231 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 232 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, member_sum, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:85:56: required from here 85 | VectorXd aa = (a.array() * a.array()).colwise().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SignedInteger]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:514:9: required from ‘boost::InputIterator::~InputIterator() [with TT = __gnu_cxx::__normal_iterator >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: required from ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::InputIterator<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: required from ‘struct boost::InputIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:107:22: note: in a call to non-static member function ‘boost::SignedInteger::~SignedInteger()’ 107 | template <> struct SignedInteger {}; | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:515:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:515:9: required from ‘boost::InputIterator::~InputIterator() [with TT = __gnu_cxx::__normal_iterator >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: required from ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::InputIterator<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: required from ‘struct boost::InputIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = std::random_access_iterator_tag; Y = std::input_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:545:11: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:545:11: required from ‘boost::ForwardIterator::~ForwardIterator() [with TT = __gnu_cxx::__normal_iterator >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: required from ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::ForwardIterator<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:543:7: required from ‘struct boost::ForwardIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = std::random_access_iterator_tag; Y = std::forward_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:573:11: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:573:11: required from ‘boost::BidirectionalIterator::~BidirectionalIterator() [with TT = __gnu_cxx::__normal_iterator >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: required from ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:571:7: required from ‘struct boost::BidirectionalIterator<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator<__gnu_cxx::__normal_iterator > >’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = std::random_access_iterator_tag; Y = std::bidirectional_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = std::random_access_iterator_tag; Y = std::random_access_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_minCoeff, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 1>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 1>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:291:61: required from here 291 | VectorXd distZY_minCoeff = distZY.rowwise().minCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_minCoeff; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_minCoeff, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_minCoeff, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_minCoeff, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_minCoeff, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 1>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 1>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:291:61: required from here 291 | VectorXd distZY_minCoeff = distZY.rowwise().minCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 289 | gebp_kernel(lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | blockA, blockB+j2*actual_kc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 291 | actual_mc, panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 292 | Scalar(-1), | ~~~~~~~~~~~ 293 | actual_kc, actual_kc, // strides | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | panelOffset, panelOffset); // offsets | ~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = std::random_access_iterator_tag; Y = std::input_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = std::random_access_iterator_tag; Y = std::forward_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map boost::make_iterator_property_map(RAIter, ID, Value) [with RAIter = __gnu_cxx::__normal_iterator >; Value = double; ID = vec_adj_list_vertex_id_map, long unsigned int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:556:43: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = std::random_access_iterator_tag; Y = std::bidirectional_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 2, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 2, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 2, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 2, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:336:78: required from here 336 | VectorXd x1 = (tmp_distZY.array() / -sigma).exp().rowwise().sum().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 2, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from ‘PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_log_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]’ 603 | return m_d.func().packetOp(m_d.argImpl.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:336:78: required from here 336 | VectorXd x1 = (tmp_distZY.array() / -sigma).exp().rowwise().sum().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:533:54: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 533 | Matrix v = m_matT.template block<2,1>(iu-1, iu-2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:336:78: required from here 336 | VectorXd x1 = (tmp_distZY.array() / -sigma).exp().rowwise().sum().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:512:9: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 512 | v = m_matT.template block<3,1>(k,k-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, member_sum, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:85:56: required from here 85 | VectorXd aa = (a.array() * a.array()).colwise().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, boost::property > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:66:5: required from ‘struct boost::concepts::Graph, boost::property > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘struct boost::concepts::IncidenceGraph, boost::property > >’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘struct boost::concepts::IncidenceGraphConcept, boost::property > >’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, boost::property > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::concepts::Graph, boost::property > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, boost::property > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:87:5: required from ‘struct boost::concepts::IncidenceGraph, boost::property > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘struct boost::concepts::IncidenceGraphConcept, boost::property > >’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, boost::property > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, boost::property > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::concepts::IncidenceGraph, boost::property > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:62:5: required from ‘void boost::breadth_first_visit(const IncidenceGraph&, SourceIterator, SourceIterator, Buffer&, BFSVisitor, ColorMap) [with IncidenceGraph = adjacency_list, property >; Buffer = d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >; BFSVisitor = detail::dijkstra_bfs_visitor, d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, adj_list_edge_property_map, edge_weight_t>, long unsigned int*, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, detail::_project2nd, std::less >; ColorMap = two_bit_color_map, long unsigned int> >; SourceIterator = long unsigned int*]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:387:24: required from ‘void boost::dijkstra_shortest_paths_no_init(const Graph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistZero, DijkstraVisitor, ColorMap) [with Graph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 387 | breadth_first_visit(g, s_begin, s_end, Q, bfs_vis, color); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:464:36: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, ColorMap) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 464 | dijkstra_shortest_paths_no_init(g, s_begin, s_end, predecessor, distance, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 465 | weight, index_map, compare, combine, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:417:28: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, const bgl_named_params&, typename enable_if_c::traversal_category>::value, graph::detail::no_parameter>::type) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; T = char; Tag = detail::unused_tag_type; Base = no_property; typename enable_if_c::traversal_category>::value, graph::detail::no_parameter>::type = graph::detail::no_parameter; typename graph_traits::traversal_category = undir_adj_list_traversal_tag]’ 417 | dijkstra_shortest_paths(g, s_begin, s_end, predecessor, distance, weight, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 418 | index_map, compare, combine, inf, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:491:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:15: note: in a call to non-static member function ‘boost::concepts::IncidenceGraphConcept, boost::property > >::~IncidenceGraphConcept()’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/preprocessor/cat.hpp:29:34: note: in definition of macro ‘BOOST_PP_CAT_I’ 29 | # define BOOST_PP_CAT_I(a, b) a ## b | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/concept_def.hpp:23:12: note: in expansion of macro ‘BOOST_PP_CAT’ 23 | struct BOOST_PP_CAT(name,Concept) \ | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: note: in expansion of macro ‘BOOST_concept’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::BFSVisitorConcept, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less >, boost::adjacency_list, boost::property > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:65:5: required from ‘void boost::breadth_first_visit(const IncidenceGraph&, SourceIterator, SourceIterator, Buffer&, BFSVisitor, ColorMap) [with IncidenceGraph = adjacency_list, property >; Buffer = d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >; BFSVisitor = detail::dijkstra_bfs_visitor, d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, adj_list_edge_property_map, edge_weight_t>, long unsigned int*, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, detail::_project2nd, std::less >; ColorMap = two_bit_color_map, long unsigned int> >; SourceIterator = long unsigned int*]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:387:24: required from ‘void boost::dijkstra_shortest_paths_no_init(const Graph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistZero, DijkstraVisitor, ColorMap) [with Graph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 387 | breadth_first_visit(g, s_begin, s_end, Q, bfs_vis, color); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:464:36: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, ColorMap) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 464 | dijkstra_shortest_paths_no_init(g, s_begin, s_end, predecessor, distance, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 465 | weight, index_map, compare, combine, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:417:28: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, const bgl_named_params&, typename enable_if_c::traversal_category>::value, graph::detail::no_parameter>::type) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; T = char; Tag = detail::unused_tag_type; Base = no_property; typename enable_if_c::traversal_category>::value, graph::detail::no_parameter>::type = graph::detail::no_parameter; typename graph_traits::traversal_category = undir_adj_list_traversal_tag]’ 417 | dijkstra_shortest_paths(g, s_begin, s_end, predecessor, distance, weight, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 418 | index_map, compare, combine, inf, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:491:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:15, from DDRTree.cpp:5: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:37:10: note: in a call to non-static member function ‘void boost::BFSVisitorConcept::constraints() [with Visitor = boost::detail::dijkstra_bfs_visitor, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less >; Graph = boost::adjacency_list, boost::property >]’ 37 | void constraints() | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::ReadWritePropertyMapConcept, long unsigned int> >, long unsigned int>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:66:5: required from ‘void boost::breadth_first_visit(const IncidenceGraph&, SourceIterator, SourceIterator, Buffer&, BFSVisitor, ColorMap) [with IncidenceGraph = adjacency_list, property >; Buffer = d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >; BFSVisitor = detail::dijkstra_bfs_visitor, d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, adj_list_edge_property_map, edge_weight_t>, long unsigned int*, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, detail::_project2nd, std::less >; ColorMap = two_bit_color_map, long unsigned int> >; SourceIterator = long unsigned int*]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:387:24: required from ‘void boost::dijkstra_shortest_paths_no_init(const Graph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistZero, DijkstraVisitor, ColorMap) [with Graph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 387 | breadth_first_visit(g, s_begin, s_end, Q, bfs_vis, color); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:464:36: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, ColorMap) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 464 | dijkstra_shortest_paths_no_init(g, s_begin, s_end, predecessor, distance, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 465 | weight, index_map, compare, combine, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:417:28: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, const bgl_named_params&, typename enable_if_c::traversal_category>::value, graph::detail::no_parameter>::type) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; T = char; Tag = detail::unused_tag_type; Base = no_property; typename enable_if_c::traversal_category>::value, graph::detail::no_parameter>::type = graph::detail::no_parameter; typename graph_traits::traversal_category = undir_adj_list_traversal_tag]’ 417 | dijkstra_shortest_paths(g, s_begin, s_end, predecessor, distance, weight, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 418 | index_map, compare, combine, inf, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:491:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:205:10: note: in a call to non-static member function ‘void boost::ReadWritePropertyMapConcept::constraints() [with PMap = boost::two_bit_color_map, long unsigned int> >; Key = long unsigned int]’ 205 | void constraints() { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:406:81: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ 178 | derived().matrixL().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: required from ‘Eigen::internal::evaluator >::evaluator(const SolveType&) [with Decomposition = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Transpose >; SolveType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]’ 127 | solve.dec()._solve_impl(solve.rhs(), m_result); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:104:54: required from ‘Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]’ 104 | explicit evaluator(const T& xpr) : evaluator(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:317:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ 184 | derived().matrixU().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: required from ‘Eigen::internal::evaluator >::evaluator(const SolveType&) [with Decomposition = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Transpose >; SolveType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]’ 127 | solve.dec()._solve_impl(solve.rhs(), m_result); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:104:54: required from ‘Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Transpose > >]’ 104 | explicit evaluator(const T& xpr) : evaluator(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:317:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:187:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::concepts::Graph, boost::property > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, boost::property > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:66:5: required from ‘struct boost::concepts::Graph, boost::property > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘struct boost::concepts::IncidenceGraph, boost::property > >’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘struct boost::concepts::IncidenceGraphConcept, boost::property > >’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::concepts::Graph::~Graph() [with G = boost::adjacency_list, boost::property >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:66:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 66 | BOOST_CONCEPT_USAGE(Graph) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::concepts::IncidenceGraph, boost::property > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, boost::property > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:87:5: required from ‘struct boost::concepts::IncidenceGraph, boost::property > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘struct boost::concepts::IncidenceGraphConcept, boost::property > >’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, boost::property > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::concepts::IncidenceGraph::~IncidenceGraph() [with G = boost::adjacency_list, boost::property >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:87:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 87 | BOOST_CONCEPT_USAGE(IncidenceGraph) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:165:3: required from ‘struct boost::CopyConstructibleConcept, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >’ 165 | BOOST_concept(CopyConstructible,(TT)) | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::CopyConstructibleConcept, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::CopyConstructibleConcept, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:39:9: required from ‘void boost::BFSVisitorConcept::constraints() [with Visitor = boost::detail::dijkstra_bfs_visitor, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less >; Graph = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::BFSVisitorConcept, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less >, boost::adjacency_list, boost::property > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less >, boost::adjacency_list, boost::property > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less >, boost::adjacency_list, boost::property > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less >, boost::adjacency_list, boost::property > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:65:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:165:17: note: in a call to non-static member function ‘boost::CopyConstructibleConcept, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >::~CopyConstructibleConcept()’ 165 | BOOST_concept(CopyConstructible,(TT)) | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/preprocessor/cat.hpp:29:34: note: in definition of macro ‘BOOST_PP_CAT_I’ 29 | # define BOOST_PP_CAT_I(a, b) a ## b | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/concept_def.hpp:23:12: note: in expansion of macro ‘BOOST_PP_CAT’ 23 | struct BOOST_PP_CAT(name,Concept) \ | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:165:3: note: in expansion of macro ‘BOOST_concept’ 165 | BOOST_concept(CopyConstructible,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::ReadablePropertyMapConcept, long unsigned int> >, long unsigned int>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:206:7: required from ‘void boost::ReadWritePropertyMapConcept::constraints() [with PMap = boost::two_bit_color_map, long unsigned int> >; Key = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ReadWritePropertyMapConcept, long unsigned int> >, long unsigned int>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_, long unsigned int> >, long unsigned int>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:66:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:147:10: note: in a call to non-static member function ‘void boost::ReadablePropertyMapConcept::constraints() [with PMap = boost::two_bit_color_map, long unsigned int> >; Key = long unsigned int]’ 147 | void constraints() { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::WritablePropertyMapConcept, long unsigned int> >, long unsigned int>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:207:7: required from ‘void boost::ReadWritePropertyMapConcept::constraints() [with PMap = boost::two_bit_color_map, long unsigned int> >; Key = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ReadWritePropertyMapConcept, long unsigned int> >, long unsigned int>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_, long unsigned int> >, long unsigned int>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:66:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:179:10: note: in a call to non-static member function ‘void boost::WritablePropertyMapConcept::constraints() [with PMap = boost::two_bit_color_map, long unsigned int> >; Key = long unsigned int]’ 179 | void constraints() { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:3: required from ‘struct boost::ConvertibleConcept’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ConvertibleConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::ConvertibleConcept]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:208:7: required from ‘void boost::ReadWritePropertyMapConcept::constraints() [with PMap = boost::two_bit_color_map, long unsigned int> >; Key = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ReadWritePropertyMapConcept, long unsigned int> >, long unsigned int>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_, long unsigned int> >, long unsigned int>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:66:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:17: note: in a call to non-static member function ‘boost::ConvertibleConcept::~ConvertibleConcept()’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/preprocessor/cat.hpp:29:34: note: in definition of macro ‘BOOST_PP_CAT_I’ 29 | # define BOOST_PP_CAT_I(a, b) a ## b | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/concept_def.hpp:23:12: note: in expansion of macro ‘BOOST_PP_CAT’ 23 | struct BOOST_PP_CAT(name,Concept) \ | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:3: note: in expansion of macro ‘BOOST_concept’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, member_sum, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:85:56: required from here 85 | VectorXd aa = (a.array() * a.array()).colwise().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: required from ‘struct boost::InputIterator’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::InputIterator]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:543:7: required from ‘struct boost::ForwardIterator’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::ForwardIterator]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:571:7: required from ‘struct boost::BidirectionalIterator’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::BidirectionalIterator]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:253:5: required from ‘struct boost::Comparable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Comparable]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:601:7: required from ‘struct boost::RandomAccessIterator’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::RandomAccessIterator]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::RandomAccessIteratorConcept]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:354:5: required from ‘boost::iterator_property_map::value_type, typename std::iterator_traits<_Iterator>::reference> boost::make_iterator_property_map(RAIter, ID) [with RAIter = long unsigned int*; ID = vec_adj_list_vertex_id_map, long unsigned int>; typename std::iterator_traits<_Iterator>::value_type = long unsigned int; typename std::iterator_traits<_Iterator>::reference = long unsigned int&]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:245:46: required from ‘static boost::detail::vertex_property_map_generator_helper::type boost::detail::vertex_property_map_generator_helper::build(const Graph&, const IndexMap&, boost::scoped_array&) [with Graph = boost::adjacency_list, boost::property >; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Value = long unsigned int; type = boost::iterator_property_map, long unsigned int>, long unsigned int, long unsigned int&>]’ 245 | return make_iterator_property_map(array_holder.get(), index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:273:33: required from ‘static boost::detail::vertex_property_map_generator::type boost::detail::vertex_property_map_generator::build(const Graph&, const IndexMap&, boost::scoped_array&) [with Graph = boost::adjacency_list, boost::property >; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Value = long unsigned int; type = boost::iterator_property_map, long unsigned int>, long unsigned int, long unsigned int&>]’ 273 | return helper::build(g, index, array_holder); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:377:38: required from ‘void boost::dijkstra_shortest_paths_no_init(const Graph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistZero, DijkstraVisitor, ColorMap) [with Graph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 377 | = IndexInHeapMapHelper::build(g, index_map, index_in_heap_map_holder); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:464:36: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, ColorMap) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 464 | dijkstra_shortest_paths_no_init(g, s_begin, s_end, predecessor, distance, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 465 | weight, index_map, compare, combine, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:417:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:17: note: in a call to non-static member function ‘boost::RandomAccessIteratorConcept::~RandomAccessIteratorConcept()’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/preprocessor/cat.hpp:29:34: note: in definition of macro ‘BOOST_PP_CAT_I’ 29 | # define BOOST_PP_CAT_I(a, b) a ## b | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/concept_def.hpp:23:12: note: in expansion of macro ‘BOOST_PP_CAT’ 23 | struct BOOST_PP_CAT(name,Concept) \ | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: note: in expansion of macro ‘BOOST_concept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:52:50: required from ‘struct boost::concepts::MultiPassInputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::concepts::MultiPassInputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:89:9: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::concepts::MultiPassInputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::MultiPassInputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:89:9: required from ‘boost::concepts::IncidenceGraph::~IncidenceGraph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:62:5: required from ‘void boost::breadth_first_visit(const IncidenceGraph&, SourceIterator, SourceIterator, Buffer&, BFSVisitor, ColorMap) [with IncidenceGraph = adjacency_list, property >; Buffer = d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >; BFSVisitor = detail::dijkstra_bfs_visitor, d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, adj_list_edge_property_map, edge_weight_t>, long unsigned int*, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, detail::_project2nd, std::less >; ColorMap = two_bit_color_map, long unsigned int> >; SourceIterator = long unsigned int*]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:387:24: required from ‘void boost::dijkstra_shortest_paths_no_init(const Graph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistZero, DijkstraVisitor, ColorMap) [with Graph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 387 | breadth_first_visit(g, s_begin, s_end, Q, bfs_vis, color); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:464:36: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, ColorMap) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 464 | dijkstra_shortest_paths_no_init(g, s_begin, s_end, predecessor, distance, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 465 | weight, index_map, compare, combine, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:417:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::concepts::MultiPassInputIterator::~MultiPassInputIterator() [with T = boost::detail::out_edge_iter<__gnu_cxx::__normal_iterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int>]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:52:50: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 52 | BOOST_concept(MultiPassInputIterator, (T)) { BOOST_CONCEPT_USAGE( | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:137:5: required from ‘struct boost::DefaultConstructible >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::DefaultConstructible >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:90:9: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::DefaultConstructible >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::DefaultConstructible >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:90:9: required from ‘boost::concepts::IncidenceGraph::~IncidenceGraph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:62:5: required from ‘void boost::breadth_first_visit(const IncidenceGraph&, SourceIterator, SourceIterator, Buffer&, BFSVisitor, ColorMap) [with IncidenceGraph = adjacency_list, property >; Buffer = d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >; BFSVisitor = detail::dijkstra_bfs_visitor, d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, adj_list_edge_property_map, edge_weight_t>, long unsigned int*, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, detail::_project2nd, std::less >; ColorMap = two_bit_color_map, long unsigned int> >; SourceIterator = long unsigned int*]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:387:24: required from ‘void boost::dijkstra_shortest_paths_no_init(const Graph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistZero, DijkstraVisitor, ColorMap) [with Graph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 387 | breadth_first_visit(g, s_begin, s_end, Q, bfs_vis, color); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:464:36: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, ColorMap) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 464 | dijkstra_shortest_paths_no_init(g, s_begin, s_end, predecessor, distance, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 465 | weight, index_map, compare, combine, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:417:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::DefaultConstructible::~DefaultConstructible() [with TT = boost::detail::edge_desc_impl]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:137:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 137 | BOOST_CONCEPT_USAGE(DefaultConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::EqualityComparable >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:91:9: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::EqualityComparable >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:91:9: required from ‘boost::concepts::IncidenceGraph::~IncidenceGraph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:62:5: required from ‘void boost::breadth_first_visit(const IncidenceGraph&, SourceIterator, SourceIterator, Buffer&, BFSVisitor, ColorMap) [with IncidenceGraph = adjacency_list, property >; Buffer = d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >; BFSVisitor = detail::dijkstra_bfs_visitor, d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, adj_list_edge_property_map, edge_weight_t>, long unsigned int*, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, detail::_project2nd, std::less >; ColorMap = two_bit_color_map, long unsigned int> >; SourceIterator = long unsigned int*]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:387:24: required from ‘void boost::dijkstra_shortest_paths_no_init(const Graph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistZero, DijkstraVisitor, ColorMap) [with Graph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 387 | breadth_first_visit(g, s_begin, s_end, Q, bfs_vis, color); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:464:36: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, ColorMap) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 464 | dijkstra_shortest_paths_no_init(g, s_begin, s_end, predecessor, distance, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 465 | weight, index_map, compare, combine, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:417:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = boost::detail::edge_desc_impl]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Assignable >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:92:9: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Assignable >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:92:9: required from ‘boost::concepts::IncidenceGraph::~IncidenceGraph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:62:5: required from ‘void boost::breadth_first_visit(const IncidenceGraph&, SourceIterator, SourceIterator, Buffer&, BFSVisitor, ColorMap) [with IncidenceGraph = adjacency_list, property >; Buffer = d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >; BFSVisitor = detail::dijkstra_bfs_visitor, d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, adj_list_edge_property_map, edge_weight_t>, long unsigned int*, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, detail::_project2nd, std::less >; ColorMap = two_bit_color_map, long unsigned int> >; SourceIterator = long unsigned int*]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:387:24: required from ‘void boost::dijkstra_shortest_paths_no_init(const Graph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistZero, DijkstraVisitor, ColorMap) [with Graph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 387 | breadth_first_visit(g, s_begin, s_end, Q, bfs_vis, color); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:464:36: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, ColorMap) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 464 | dijkstra_shortest_paths_no_init(g, s_begin, s_end, predecessor, distance, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 465 | weight, index_map, compare, combine, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:417:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Assignable::~Assignable() [with TT = boost::detail::edge_desc_impl]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 145 | BOOST_CONCEPT_USAGE(Assignable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:93:9: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:93:9: required from ‘boost::concepts::IncidenceGraph::~IncidenceGraph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:62:5: required from ‘void boost::breadth_first_visit(const IncidenceGraph&, SourceIterator, SourceIterator, Buffer&, BFSVisitor, ColorMap) [with IncidenceGraph = adjacency_list, property >; Buffer = d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >; BFSVisitor = detail::dijkstra_bfs_visitor, d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, adj_list_edge_property_map, edge_weight_t>, long unsigned int*, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, detail::_project2nd, std::less >; ColorMap = two_bit_color_map, long unsigned int> >; SourceIterator = long unsigned int*]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:387:24: required from ‘void boost::dijkstra_shortest_paths_no_init(const Graph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistZero, DijkstraVisitor, ColorMap) [with Graph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 387 | breadth_first_visit(g, s_begin, s_end, Q, bfs_vis, color); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:464:36: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, SourceInputIter, SourceInputIter, PredecessorMap, DistanceMap, WeightMap, IndexMap, Compare, Combine, DistInf, DistZero, DijkstraVisitor, ColorMap) [with VertexListGraph = adjacency_list, property >; SourceInputIter = long unsigned int*; DijkstraVisitor = dijkstra_visitor<>; PredecessorMap = long unsigned int*; DistanceMap = iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = adj_list_edge_property_map, edge_weight_t>; IndexMap = vec_adj_list_vertex_id_map, long unsigned int>; Compare = std::less; Combine = detail::_project2nd; DistInf = double; DistZero = double; ColorMap = two_bit_color_map, long unsigned int> >]’ 464 | dijkstra_shortest_paths_no_init(g, s_begin, s_end, predecessor, distance, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 465 | weight, index_map, compare, combine, zero, vis, color); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:417:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::undir_adj_list_traversal_tag; Y = boost::incidence_graph_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:165:3: required from ‘struct boost::CopyConstructibleConcept, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >’ 165 | BOOST_concept(CopyConstructible,(TT)) | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::CopyConstructibleConcept, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = boost::detail::dijkstra_bfs_visitor, boost::d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, boost::adj_list_edge_property_map, boost::edge_weight_t>, long unsigned int*, boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, boost::detail::_project2nd, std::less >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:3: required from ‘struct boost::ConvertibleConcept’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ConvertibleConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::ConvertibleConcept]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:148:7: required from ‘void boost::ReadablePropertyMapConcept::constraints() [with PMap = boost::two_bit_color_map, long unsigned int> >; Key = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ReadablePropertyMapConcept, long unsigned int> >, long unsigned int>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_, long unsigned int> >, long unsigned int>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:206:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:17: note: in a call to non-static member function ‘boost::ConvertibleConcept::~ConvertibleConcept()’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/preprocessor/cat.hpp:29:34: note: in definition of macro ‘BOOST_PP_CAT_I’ 29 | # define BOOST_PP_CAT_I(a, b) a ## b | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/concept_def.hpp:23:12: note: in expansion of macro ‘BOOST_PP_CAT’ 23 | struct BOOST_PP_CAT(name,Concept) \ | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:3: note: in expansion of macro ‘BOOST_concept’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:3: required from ‘struct boost::ConvertibleConcept’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ConvertibleConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::ConvertibleConcept]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:180:7: required from ‘void boost::WritablePropertyMapConcept::constraints() [with PMap = boost::two_bit_color_map, long unsigned int> >; Key = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::WritablePropertyMapConcept, long unsigned int> >, long unsigned int>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, long unsigned int> >, long unsigned int> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_, long unsigned int> >, long unsigned int>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/property_map/property_map.hpp:207:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:17: note: in a call to non-static member function ‘boost::ConvertibleConcept::~ConvertibleConcept()’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/preprocessor/cat.hpp:29:34: note: in definition of macro ‘BOOST_PP_CAT_I’ 29 | # define BOOST_PP_CAT_I(a, b) a ## b | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/concept_def.hpp:23:12: note: in expansion of macro ‘BOOST_PP_CAT’ 23 | struct BOOST_PP_CAT(name,Concept) \ | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:3: note: in expansion of macro ‘BOOST_concept’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:3: required from ‘struct boost::ConvertibleConcept’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ConvertibleConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::read_write_property_map_tag; Y = boost::read_write_property_map_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0> >; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal, 0>; Src = Eigen::PartialReduxExpr, member_sum, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Diagonal, 0>; Src = Eigen::PartialReduxExpr, member_sum, 0>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Diagonal, 0>; Src = Eigen::PartialReduxExpr, member_sum, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Diagonal, 0>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:331:44: required from here 331 | Gamma.diagonal() = R.colwise().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:336:78: required from here 336 | VectorXd x1 = (tmp_distZY.array() / -sigma).exp().rowwise().sum().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Assignable::~Assignable() [with TT = long unsigned int*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 145 | BOOST_CONCEPT_USAGE(Assignable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = long unsigned int*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::InputIterator]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: required from ‘struct boost::InputIterator’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:540:3: required from ‘struct boost::ForwardIterator’ 540 | BOOST_concept(ForwardIterator,(TT)) | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::InputIterator::~InputIterator() [with TT = long unsigned int*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 512 | BOOST_CONCEPT_USAGE(InputIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::ForwardIterator]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:543:7: required from ‘struct boost::ForwardIterator’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:568:3: required from ‘struct boost::BidirectionalIterator’ 568 | BOOST_concept(BidirectionalIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::ForwardIterator::~ForwardIterator() [with TT = long unsigned int*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:543:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 543 | BOOST_CONCEPT_USAGE(ForwardIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::BidirectionalIterator]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:571:7: required from ‘struct boost::BidirectionalIterator’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::BidirectionalIterator::~BidirectionalIterator() [with TT = long unsigned int*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:571:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 571 | BOOST_CONCEPT_USAGE(BidirectionalIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Comparable]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:253:5: required from ‘struct boost::Comparable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIterator’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Comparable::~Comparable() [with TT = long unsigned int*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:253:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 253 | BOOST_CONCEPT_USAGE(Comparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::RandomAccessIterator]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:601:7: required from ‘struct boost::RandomAccessIterator’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:597:3: required from ‘struct boost::RandomAccessIteratorConcept’ 597 | BOOST_concept(RandomAccessIterator,(TT)) | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::RandomAccessIteratorConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::RandomAccessIterator::~RandomAccessIterator() [with TT = long unsigned int*]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:601:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 601 | BOOST_CONCEPT_USAGE(RandomAccessIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:137:5: required from ‘struct boost::DefaultConstructible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::DefaultConstructible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:68:9: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::DefaultConstructible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::DefaultConstructible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:68:9: required from ‘boost::concepts::Graph::~Graph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: required from ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::concepts::Graph, boost::property > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, boost::property > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:66:5: required from ‘struct boost::concepts::Graph, boost::property > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘struct boost::concepts::IncidenceGraph, boost::property > >’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::DefaultConstructible::~DefaultConstructible() [with TT = long unsigned int]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:137:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 137 | BOOST_CONCEPT_USAGE(DefaultConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::EqualityComparable]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:69:9: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::EqualityComparable]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:69:9: required from ‘boost::concepts::Graph::~Graph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: required from ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::concepts::Graph, boost::property > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, boost::property > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:66:5: required from ‘struct boost::concepts::Graph, boost::property > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘struct boost::concepts::IncidenceGraph, boost::property > >’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = long unsigned int]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Assignable]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:70:9: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Assignable]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:70:9: required from ‘boost::concepts::Graph::~Graph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: required from ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::concepts::Graph, boost::property > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, boost::property > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:66:5: required from ‘struct boost::concepts::Graph, boost::property > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘struct boost::concepts::IncidenceGraph, boost::property > >’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Assignable::~Assignable() [with TT = long unsigned int]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 145 | BOOST_CONCEPT_USAGE(Assignable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::concepts::MultiPassInputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:52:50: required from ‘struct boost::concepts::MultiPassInputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::concepts::MultiPassInputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::concepts::MultiPassInputIterator::~MultiPassInputIterator() [with T = boost::detail::out_edge_iter<__gnu_cxx::__normal_iterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int>]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:52:50: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 52 | BOOST_concept(MultiPassInputIterator, (T)) { BOOST_CONCEPT_USAGE( | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::DefaultConstructible >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:137:5: required from ‘struct boost::DefaultConstructible >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::DefaultConstructible >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::DefaultConstructible::~DefaultConstructible() [with TT = boost::detail::edge_desc_impl]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:137:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 137 | BOOST_CONCEPT_USAGE(DefaultConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::EqualityComparable >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = boost::detail::edge_desc_impl]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Assignable >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Assignable::~Assignable() [with TT = boost::detail::edge_desc_impl]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 145 | BOOST_CONCEPT_USAGE(Assignable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::undir_adj_list_traversal_tag; Y = boost::incidence_graph_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:3: required from ‘struct boost::ConvertibleConcept’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ConvertibleConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::read_write_property_map_tag; Y = boost::readable_property_map_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:206:3: required from ‘struct boost::ConvertibleConcept’ 206 | BOOST_concept(Convertible,(X)(Y)) | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::ConvertibleConcept]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::read_write_property_map_tag; Y = boost::writable_property_map_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1622:7: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>]’ 1622 | : m_argImpl(diagonal.nestedExpression()), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 74 | xpr.index() )) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1622:7: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>]’ 1622 | : m_argImpl(diagonal.nestedExpression()), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 74 | xpr.index() )) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::DefaultConstructible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:137:5: required from ‘struct boost::DefaultConstructible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::DefaultConstructible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::DefaultConstructible::~DefaultConstructible() [with TT = long unsigned int]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:137:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 137 | BOOST_CONCEPT_USAGE(DefaultConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::EqualityComparable]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = long unsigned int]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Assignable]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Assignable::~Assignable() [with TT = long unsigned int]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 145 | BOOST_CONCEPT_USAGE(Assignable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: required from ‘struct boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:53:35: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:53:35: required from ‘boost::concepts::MultiPassInputIterator::~MultiPassInputIterator() [with T = boost::detail::out_edge_iter<__gnu_cxx::__normal_iterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::MultiPassInputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:89:9: required from ‘boost::concepts::IncidenceGraph::~IncidenceGraph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::IncidenceGraphConcept, boost::property > >]’ 75 | BOOST_concept(IncidenceGraph, (G)) : Graph< G > | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/breadth_first_search.hpp:62:5: required from ‘void boost::breadth_first_visit(const IncidenceGraph&, SourceIterator, SourceIterator, Buffer&, BFSVisitor, ColorMap) [with IncidenceGraph = adjacency_list, property >; Buffer = d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >; BFSVisitor = detail::dijkstra_bfs_visitor, d_ary_heap_indirect, long unsigned int>, long unsigned int, long unsigned int&>, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, std::less, std::vector >, adj_list_edge_property_map, edge_weight_t>, long unsigned int*, iterator_property_map<__gnu_cxx::__normal_iterator >, vec_adj_list_vertex_id_map, long unsigned int>, double, double&>, detail::_project2nd, std::less >; ColorMap = two_bit_color_map, long unsigned int> >; SourceIterator = long unsigned int*]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:387:24: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::InputIterator::~InputIterator() [with TT = boost::detail::out_edge_iter<__gnu_cxx::__normal_iterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int>]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 512 | BOOST_CONCEPT_USAGE(InputIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1622:7: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>]’ 1622 | : m_argImpl(diagonal.nestedExpression()), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 74 | xpr.index() )) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:516:26: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ DDRTree.cpp:87:33: required from here 87 | MatrixXd ab = a.transpose() * b; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Assignable > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: required from ‘struct boost::Assignable > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Assignable::~Assignable() [with TT = boost::detail::out_edge_iter<__gnu_cxx::__normal_iterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int>]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:145:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 145 | BOOST_CONCEPT_USAGE(Assignable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:502:3: required from ‘struct boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 502 | BOOST_concept(InputIterator,(TT)) | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = boost::detail::out_edge_iter<__gnu_cxx::__normal_iterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int>]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: required from ‘struct boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::InputIterator::~InputIterator() [with TT = boost::detail::out_edge_iter<__gnu_cxx::__normal_iterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int>]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:512:7: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 512 | BOOST_CONCEPT_USAGE(InputIterator) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:481:36: required from here 481 | tmp1 = Q * X_in.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 313 | matA.bottomRightCorner(remainingSize, remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, std::input_iterator_tag> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible, std::input_iterator_tag>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible, std::input_iterator_tag>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, std::input_iterator_tag> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, std::input_iterator_tag> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_, std::input_iterator_tag>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:515:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible, std::input_iterator_tag>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible, std::input_iterator_tag>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:515:9: required from ‘boost::InputIterator::~InputIterator() [with TT = boost::detail::out_edge_iter<__gnu_cxx::__normal_iterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::InputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:53:35: required from ‘boost::concepts::MultiPassInputIterator::~MultiPassInputIterator() [with T = boost::detail::out_edge_iter<__gnu_cxx::__normal_iterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int>]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::MultiPassInputIterator > >, boost::property >*, std::vector > >, boost::property >, std::allocator > >, boost::property > > > >, long unsigned int, boost::detail::edge_desc_impl, long int> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:89:9: required from ‘boost::concepts::IncidenceGraph::~IncidenceGraph() [with G = boost::adjacency_list, boost::property >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/graph_concepts.hpp:75:1: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::detail::iterator_category_with_traversal; Y = std::input_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1622:7: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>]’ 1622 | : m_argImpl(diagonal.nestedExpression()), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 74 | xpr.index() )) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1622:7: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>]’ 1622 | : m_argImpl(diagonal.nestedExpression()), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 74 | xpr.index() )) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:406:47: required from here 406 | tmp_dense = tmp_dense.partialPivLu().solve(R.transpose()).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:509:37: required from here 509 | Z_out = W_out.transpose() * C; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible, std::input_iterator_tag>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements, std::input_iterator_tag> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible, std::input_iterator_tag>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible, std::input_iterator_tag>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied, std::input_iterator_tag> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied, std::input_iterator_tag> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:528:32: required from ‘void boost::detail::dijkstra_dispatch2(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::iterator_property_map<__gnu_cxx::__normal_iterator >, boost::vec_adj_list_vertex_id_map, long unsigned int>, double, double&>; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 528 | dijkstra_shortest_paths(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 529 | choose_param(get_param(params, vertex_predecessor), p_map), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | distance, weight, index_map, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 531 | choose_param( | ~~~~~~~~~~~~~ 532 | get_param(params, distance_compare_t()), std::less< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | choose_param( | ~~~~~~~~~~~~~ 534 | get_param(params, distance_combine_t()), std::plus< D >()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | inf, choose_param(get_param(params, distance_zero_t()), D()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | choose_param(get_param(params, graph_visitor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 537 | make_dijkstra_visitor(null_visitor())), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 538 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:554:35: required from ‘void boost::detail::dijkstra_dispatch1(const VertexListGraph&, typename boost::graph_traits::vertex_descriptor, DistanceMap, WeightMap, IndexMap, const Params&) [with VertexListGraph = boost::adjacency_list, boost::property >; DistanceMap = boost::param_not_found; WeightMap = boost::adj_list_edge_property_map, boost::edge_weight_t>; IndexMap = boost::vec_adj_list_vertex_id_map, long unsigned int>; Params = boost::bgl_named_params<_project2nd, boost::distance_combine_t, boost::bgl_named_params, boost::distance_compare_t, boost::bgl_named_params, boost::edge_weight_t>, boost::edge_weight_t, boost::bgl_named_params > > >; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 554 | detail::dijkstra_dispatch2(g, s, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 555 | choose_param(distance, | ~~~~~~~~~~~~~~~~~~~~~~ 556 | make_iterator_property_map( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 557 | distance_map.begin(), index_map, distance_map[0])), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 558 | weight, index_map, params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/dijkstra_shortest_paths.hpp:570:31: required from ‘void boost::dijkstra_shortest_paths(const VertexListGraph&, typename graph_traits::vertex_descriptor, const bgl_named_params&) [with VertexListGraph = adjacency_list, property >; Param = detail::_project2nd; Tag = distance_combine_t; Rest = bgl_named_params, distance_compare_t, bgl_named_params, edge_weight_t>, edge_weight_t, bgl_named_params > >; typename graph_traits::vertex_descriptor = long unsigned int]’ 570 | detail::dijkstra_dispatch1(g, s, get_param(params, vertex_distance), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | choose_const_pmap(get_param(params, edge_weight), g, edge_weight), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 572 | choose_const_pmap(get_param(params, vertex_index), g, vertex_index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 573 | params); | ~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:43:32: required from ‘void boost::detail::prim_mst_impl(const Graph&, typename boost::graph_traits::vertex_descriptor, const boost::bgl_named_params&, Weight) [with Graph = boost::adjacency_list, boost::property >; P = boost::adj_list_edge_property_map, boost::edge_weight_t>; T = boost::edge_weight_t; R = boost::bgl_named_params; Weight = boost::adj_list_edge_property_map, boost::edge_weight_t>; typename boost::graph_traits::vertex_descriptor = long unsigned int]’ 43 | dijkstra_shortest_paths( | ~~~~~~~~~~~~~~~~~~~~~~~^ 44 | G, s, params.distance_compare(compare).distance_combine(combine)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/graph/prim_minimum_spanning_tree.hpp:77:26: required from ‘void boost::prim_minimum_spanning_tree(const VertexListGraph&, PredecessorMap) [with VertexListGraph = adjacency_list, property >; PredecessorMap = long unsigned int*]’ 77 | detail::prim_mst_impl(g, *vertices(g).first, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ 78 | predecessor_map(p_map).weight_map(get(edge_weight, g)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | get(edge_weight, g)); | ~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:249:35: required from here 249 | prim_minimum_spanning_tree(g, &spanning_tree[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::detail::iterator_category_with_traversal; Y = std::input_iterator_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 260 | pack_rhs_panel(blockB+j2*actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ 261 | rhs.getSubMapper(actual_k2+panelOffset, actual_j2), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 262 | panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 263 | actual_kc, panelOffset); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 27 | triangular_solve_matrix< | ~~~~~~~~~~~~~~~~~~~~~~~~ 28 | Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | NumTraits::IsComplex && Conjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:497:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1>, Eigen::Transpose, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:516:70: required from here 516 | Y_out = Y_out.llt().solve((Z_out * R).transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1622:7: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with ArgType = const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>]’ 1622 | : m_argImpl(diagonal.nestedExpression()), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int DiagIndex = 0; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 74 | xpr.index() )) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; XprType = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:358:78: required from here 358 | obj2 = obj2 + lambda * (Y_out * L * Y_out.transpose()).diagonal().sum() + gamma * obj1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DDRTree.cpp:36:37: required from here 36 | EigenSolver es(C, true); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, Eigen::AMDOrdering >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:411:63: required from here 411 | tmp_dense = solver.solve(R.transpose()).transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ DDRTree.cpp:468:82: required from here 468 | Q = (X_in + ((X_in * tmp_dense) * R.transpose()) ).array() / (gamma + 1.0); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c DDRTree_init.c -o DDRTree_init.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o DDRTree.so DDRTree.o DDRTree_init.o RcppExports.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpQ8eDxO/R.INSTALL20f1ec6156639a/DDRTree/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DDRTree/00new/DDRTree/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DDRTree) begin installing package ‘monocle’ * installing *source* package ‘ReactomePA’ ... ** this is package ‘ReactomePA’ version ‘1.54.0’ ** package ‘ReactomePA’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ReactomePA) * installing *source* package ‘ensembldb’ ... ** this is package ‘ensembldb’ version ‘2.34.0’ ** package ‘ensembldb’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function from function ‘.cds_for_id2’ in package ‘ensembldb’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ensembldb) * installing *source* package ‘TFBSTools’ ... ** this is package ‘TFBSTools’ version ‘1.48.0’ ** package ‘TFBSTools’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp1UbBi9/R.INSTALL2100e16443a86e/TFBSTools/src' gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrixAlignerDynamic.c -o matrixAlignerDynamic.o matrixAlignerDynamic.c: In function ‘score’: matrixAlignerDynamic.c:235:22: warning: ‘best_pntr’ may be used uninitialized [-Wmaybe-uninitialized] 235 | while (current_pntr->father != NULL){ // while the father of the current pointer exists, walk through the best posible alignment | ~~~~~~~~~~~~^~~~~~~~ matrixAlignerDynamic.c:115:17: note: ‘best_pntr’ was declared here 115 | struct entry *best_pntr; // pointer to the best entry so far | ^~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_TFBSTools.c -o R_init_TFBSTools.o gcc-15 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o TFBSTools.so matrixAlignerDynamic.o R_init_TFBSTools.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp1UbBi9/R.INSTALL2100e16443a86e/TFBSTools/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-TFBSTools/00new/TFBSTools/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘seqLogo’ in package ‘TFBSTools’ Creating a new generic function for ‘pattern’ in package ‘TFBSTools’ Creating a generic function for ‘colSums’ from package ‘base’ in package ‘TFBSTools’ Creating a generic function for ‘rowSums’ from package ‘base’ in package ‘TFBSTools’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TFBSTools) begin installing package ‘chromVAR’ begin installing package ‘motifmatchr’ * installing *source* package ‘glmGamPoi’ ... ** this is package ‘glmGamPoi’ version ‘1.22.0’ ** package ‘glmGamPoi’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpS0yQU4/R.INSTALL20f6f393d406e/glmGamPoi/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/assorthead/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/assorthead/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c beta_estimation.cpp -o beta_estimation.o beta_estimation.cpp: In function ‘bool lte_n_equal_rows(const Rcpp::NumericMatrix&, int, double)’: beta_estimation.cpp:31:35: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 31 | for(size_t row_idx = 0; row_idx < matrix.nrow(); row_idx++){ | ~~~~~~~~^~~~~~~~~~~~~~~ beta_estimation.cpp:43:20: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 43 | if(n_matches > n){ | ~~~~~~~~~~^~~ beta_estimation.cpp: In function ‘Rcpp::IntegerVector get_row_groups(const Rcpp::NumericMatrix&, int, double)’: beta_estimation.cpp:57:35: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 57 | for(size_t row_idx = 0; row_idx < matrix.nrow(); row_idx++){ | ~~~~~~~~^~~~~~~~~~~~~~~ In file included from beta_estimation.cpp:5: ../inst/include/deviance.h: In instantiation of ‘arma::Mat compute_gp_deviance_residuals_matrix_impl(arma::Mat, arma::Mat, Rcpp::NumericVector) [with NumericType = int; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’: ../inst/include/deviance.h:88:58: required from here 88 | return compute_gp_deviance_residuals_matrix_impl(Y, Mu, thetas); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/deviance.h:76:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 76 | for(int i = 0; i < Y.n_elem; i++){ | ~~^~~~~~~~~~ ../inst/include/deviance.h: In instantiation of ‘arma::Mat compute_gp_deviance_residuals_matrix_impl(arma::Mat, arma::Mat, Rcpp::NumericVector) [with NumericType = double; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’: ../inst/include/deviance.h:91:61: required from here 91 | return compute_gp_deviance_residuals_matrix_impl(Y, Mu, thetas); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/deviance.h:76:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 76 | for(int i = 0; i < Y.n_elem; i++){ | ~~^~~~~~~~~~ beta_estimation.cpp: In instantiation of ‘void clamp_inplace(arma::Mat&, double, double) [with NumericType = double]’: beta_estimation.cpp:80:16: required from here 80 | clamp_inplace(mu_hat, 1e-50, 1e50); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ beta_estimation.cpp:14:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 14 | for(int i = 0; i < v.n_elem; i++){ | ~~^~~~~~~~~~ ../inst/include/deviance.h: In instantiation of ‘double compute_gp_deviance_sum(const arma::Mat&, const arma::Mat&, double) [with NumericType = double]’: beta_estimation.cpp:256:40: required from here 256 | dev_old = compute_gp_deviance_sum(counts, mu_hat, thetas(gene_idx)) + pen_sum; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/deviance.h:53:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 53 | for (int i = 0; i < Y.n_elem; i++) { | ~~^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/assorthead/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c deviance.cpp -o deviance.o In file included from deviance.cpp:3: ../inst/include/deviance.h: In instantiation of ‘arma::Mat compute_gp_deviance_residuals_matrix_impl(arma::Mat, arma::Mat, Rcpp::NumericVector) [with NumericType = int; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’: ../inst/include/deviance.h:88:58: required from here 88 | return compute_gp_deviance_residuals_matrix_impl(Y, Mu, thetas); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/deviance.h:76:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 76 | for(int i = 0; i < Y.n_elem; i++){ | ~~^~~~~~~~~~ ../inst/include/deviance.h: In instantiation of ‘arma::Mat compute_gp_deviance_residuals_matrix_impl(arma::Mat, arma::Mat, Rcpp::NumericVector) [with NumericType = double; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’: ../inst/include/deviance.h:91:61: required from here 91 | return compute_gp_deviance_residuals_matrix_impl(Y, Mu, thetas); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/deviance.h:76:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 76 | for(int i = 0; i < Y.n_elem; i++){ | ~~^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/assorthead/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c overdispersion.cpp -o overdispersion.o overdispersion.cpp: In function ‘Rcpp::List make_table_if_small(const Rcpp::NumericVector&, int)’: overdispersion.cpp:25:22: warning: comparison of integer expressions of different signedness: ‘std::unordered_map::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 25 | if(counts.size() > stop_if_larger){ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ overdispersion.cpp: In function ‘double conventional_loglikelihood_fast(Rcpp::NumericVector, Rcpp::NumericVector, double, const arma::mat&, bool, Rcpp::NumericVector, Rcpp::NumericVector)’: overdispersion.cpp:92:31: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 92 | for(size_t iter = 0; iter < count_frequencies.size(); ++iter){ | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ overdispersion.cpp:100:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 100 | for(size_t i = 0; i < y.size(); ++i){ | ~~^~~~~~~~~~ overdispersion.cpp: In function ‘double conventional_score_function_fast(Rcpp::NumericVector, Rcpp::NumericVector, double, const arma::mat&, bool, Rcpp::NumericVector, Rcpp::NumericVector)’: overdispersion.cpp:136:31: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 136 | for(size_t iter = 0; iter < count_frequencies.size(); ++iter){ | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ overdispersion.cpp:159:31: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 159 | for(size_t iter = 0; iter < y.size(); ++iter){ | ~~~~~^~~~~~~~~~ overdispersion.cpp:177:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 177 | for(size_t i = 0; i < y.size(); ++i){ | ~~^~~~~~~~~~ overdispersion.cpp: In function ‘double conventional_deriv_score_function_fast(Rcpp::NumericVector, Rcpp::NumericVector, double, const arma::mat&, bool, Rcpp::NumericVector, Rcpp::NumericVector)’: overdispersion.cpp:233:31: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 233 | for(size_t iter = 0; iter < count_frequencies.size(); ++iter){ | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ overdispersion.cpp:251:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 251 | for(size_t i = 0; i < y.size(); ++i){ | ~~^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/assorthead/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o glmGamPoi.so RcppExports.o beta_estimation.o deviance.o overdispersion.o utils.o -llapack -L/home/hornik/tmp/R-d-gcc-15/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpS0yQU4/R.INSTALL20f6f393d406e/glmGamPoi/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-glmGamPoi/00new/glmGamPoi/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmGamPoi) * installing *source* package ‘Nebulosa’ ... ** this is package ‘Nebulosa’ version ‘1.20.0’ ** package ‘Nebulosa’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Nebulosa) * installing *source* package ‘sccore’ ... ** this is package ‘sccore’ version ‘1.0.6’ ** package ‘sccore’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmptH66ho/R.INSTALL21090321dd99fc/sccore/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I"../inst/include" -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I"../inst/include" -fpic -g -O2 -Wall -pedantic -mtune=native -c graph_embedding.cpp -o graph_embedding.o graph_embedding.cpp: In function ‘std::unordered_map get_hitting_time_map(const std::vector&, const std::vector&)’: graph_embedding.cpp:70:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 70 | for (int v2 = 0; v2 < adjacent_ids.size(); ++v2) { | ~~~^~~~~~~~~~~~~~~~~~~~~ graph_embedding.cpp: In function ‘void dfs_hitting_time(const std::vector >&, const std::vector >&, int, std::vector&, path_map_t&, double, int, double, int, double)’: graph_embedding.cpp:130:55: warning: comparison of integer expressions of different signedness: ‘std::unordered_map::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 130 | if ((current_prob < min_prob && result_paths.size() >= min_visited_verts) || current_prob < min_prob_lower) | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ graph_embedding.cpp:135:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 135 | for (int i = 0; i < adjacency_list.at(vertex_id).size(); ++i) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ graph_embedding.cpp: In function ‘std::pair, std::vector > hitting_time_per_neighbor(const std::vector >&, const std::vector >&, int, double, int, double, int)’: graph_embedding.cpp:156:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | if (start_vertex < 0 || start_vertex >= adjacency_list.size()) | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ graph_embedding.cpp: In function ‘std::pair >, std::vector > > hitting_time_per_neighbors(const std::vector >&, const std::vector >&, int, int, double, int, double, int, bool)’: graph_embedding.cpp:188:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 188 | if (n_verts <= 0 || n_verts >= adjacency_list.size()) { | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ graph_embedding.cpp: In instantiation of ‘std::vector reorder(const std::vector&, std::vector, size_t) [with T = double; size_t = long unsigned int]’: graph_embedding.cpp:175:31: required from here 175 | auto values_sorted = reorder(values, sorted_ids, max_adj_num); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ graph_embedding.cpp:39:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 39 | for (int i = 0; i < max_size; ++i) { | ~~^~~~~~~~~~ graph_embedding.cpp: In instantiation of ‘std::vector reorder(const std::vector&, std::vector, size_t) [with T = int; size_t = long unsigned int]’: graph_embedding.cpp:176:32: required from here 176 | auto indexes_sorted = reorder(indexes, sorted_ids, max_adj_num); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ graph_embedding.cpp:39:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 39 | for (int i = 0; i < max_size; ++i) { | ~~^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I"../inst/include" -fpic -g -O2 -Wall -pedantic -mtune=native -c matrix_utils.cpp -o matrix_utils.o matrix_utils.cpp: In function ‘arma::mat jsDist(const arma::mat&)’: matrix_utils.cpp:18:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 18 | for(int i=0; i<(m.n_cols-1); i++) { | ~^~~~~~~~~~~~~ matrix_utils.cpp:20:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 20 | for(int j=i+1; j Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ propagate_labels.cpp: In function ‘si_map_t parse_edges(const Rcpp::StringMatrix&, const std::vector&, std::vector&, s_vec_t)’: propagate_labels.cpp:42:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 42 | if (edge_verts.nrow() != edge_weights.size() || edge_verts.ncol() != 2) | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ propagate_labels.cpp:50:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 50 | for (size_t i = 0; i < edge_verts.nrow(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ propagate_labels.cpp:57:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 57 | for (size_t i = 0; i < edge_verts.nrow(); ++i) { // TODO: add informative message in case vertex name is not presented in the map | ~~^~~~~~~~~~~~~~~~~~~ propagate_labels.cpp: In function ‘Rcpp::NumericMatrix propagate_labels(const Rcpp::StringMatrix&, const std::vector&, const Rcpp::StringVector&, int, bool, double, double, double, bool)’: propagate_labels.cpp:79:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 79 | if (edge_verts.nrow() != edge_weights.size() || edge_verts.ncol() != 2) | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ propagate_labels.cpp:87:7: required from here 87 | Mat label_probs = Mat::Zero(vertex_ids.size(), label_ids.size()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ propagate_labels.cpp:87:7: required from here 87 | Mat label_probs = Mat::Zero(vertex_ids.size(), label_ids.size()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ propagate_labels.cpp:87:30: required from here 87 | Mat label_probs = Mat::Zero(vertex_ids.size(), label_ids.size()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ propagate_labels.cpp:90:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 90 | for (size_t i = 0; i < vert_labels.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ propagate_labels.cpp:105:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::unordered_map, long unsigned int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 105 | for (int v_id = 0; v_id < vertex_ids.size(); ++v_id) { | ~~~~~^~~~~~~~~~~~~~~~~~~ propagate_labels.cpp:106:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::unordered_map, long unsigned int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 106 | for (int l_id = 0; l_id < label_ids.size(); ++l_id) { | ~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ propagate_labels.cpp:153:19: required from here 153 | cm_new.row(e.v_start) += count_matrix.row(e.v_end) * weight; | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ propagate_labels.cpp:153:62: required from here 153 | cm_new.row(e.v_start) += count_matrix.row(e.v_end) * weight; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ propagate_labels.cpp:153:62: required from here 153 | cm_new.row(e.v_start) += count_matrix.row(e.v_end) * weight; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ propagate_labels.cpp:153:62: required from here 153 | cm_new.row(e.v_start) += count_matrix.row(e.v_end) * weight; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ propagate_labels.cpp: In function ‘void smooth_count_matrix_c(const std::vector&, Mat&, int, double, double, double, bool, bool, const std::vector&)’: propagate_labels.cpp:172:38: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 172 | for (size_t row_id = 0; row_id < cm_new.rows(); ++row_id) { | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ propagate_labels.cpp:178:26: required from here 178 | inf_norm = (cm_new - count_matrix).array().abs().matrix().lpNorm(); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ propagate_labels.cpp:178:45: required from here 178 | inf_norm = (cm_new - count_matrix).array().abs().matrix().lpNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ propagate_labels.cpp:178:51: required from here 178 | inf_norm = (cm_new - count_matrix).array().abs().matrix().lpNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ propagate_labels.cpp:178:60: required from here 178 | inf_norm = (cm_new - count_matrix).array().abs().matrix().lpNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ propagate_labels.cpp: In function ‘SEXPREC* smooth_count_matrix(const Rcpp::StringMatrix&, const std::vector&, const Rcpp::NumericMatrix&, const std::vector&, int, double, double, double, bool, bool)’: propagate_labels.cpp:216:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 216 | if (edge_verts.nrow() != edge_weights.size()) | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ propagate_labels.cpp: In function ‘Rcpp::List adjacentVertices(const Rcpp::StringMatrix&)’: propagate_labels.cpp:262:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 262 | for (size_t i = 0; i < edge_verts.nrow(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ propagate_labels.cpp: In function ‘Rcpp::List adjacent_vertex_weights(const Rcpp::StringMatrix&, const std::vector&)’: propagate_labels.cpp:286:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 286 | for (size_t i = 0; i < edge_verts.nrow(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ propagate_labels.cpp:173:52: required from here 173 | cm_new.row(row_id) /= sum_weights.at(row_id); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:244:22: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >; RealScalar = double]’ 244 | return m.cwiseAbs().maxCoeff(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ propagate_labels.cpp:178:86: required from here 178 | inf_norm = (cm_new - count_matrix).array().abs().matrix().lpNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, 1, -1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ propagate_labels.cpp:153:62: required from here 153 | cm_new.row(e.v_start) += count_matrix.row(e.v_end) * weight; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > > >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:244:33: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >; RealScalar = double]’ 244 | return m.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ propagate_labels.cpp:178:86: required from here 178 | inf_norm = (cm_new - count_matrix).array().abs().matrix().lpNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o sccore.so RcppExports.o graph_embedding.o matrix_utils.o propagate_labels.o -lpthread -llapack -L/home/hornik/tmp/R-d-gcc-15/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-15/lib -lR 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmptH66ho/R.INSTALL21090321dd99fc/sccore/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-sccore/00new/sccore/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading in method for ‘embeddingPlot’ with signature ‘"Seurat"’: no definition for class “Seurat” Note: wrong number of arguments to '*' ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sccore) begin installing package ‘leidenAlg’ * installing *source* package ‘VariantAnnotation’ ... ** this is package ‘VariantAnnotation’ version ‘1.56.0’ ** package ‘VariantAnnotation’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpCj4eSI/R.INSTALL20f226b4f1819/VariantAnnotation/src' gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Biostrings_stubs.c -o Biostrings_stubs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c IRanges_stubs.c -o IRanges_stubs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_VariantAnnotation.c -o R_init_VariantAnnotation.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c XVector_stubs.c -o XVector_stubs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dna_hash.c -o dna_hash.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rle.c -o rle.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c strhash.c -o strhash.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utilities.c -o utilities.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vcffile.c -o vcffile.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vcftype.c -o vcftype.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/S4Vectors/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/IRanges/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/XVector/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Biostrings/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c writevcf.c -o writevcf.o gcc-15 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o VariantAnnotation.so Biostrings_stubs.o IRanges_stubs.o R_init_VariantAnnotation.o XVector_stubs.o dna_hash.o rle.o strhash.o utilities.o vcffile.o vcftype.o writevcf.o /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhtslib/usrlib/libhts.a -lcurl -lbz2 -llzma -lz -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpCj4eSI/R.INSTALL20f226b4f1819/VariantAnnotation/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-VariantAnnotation/00new/VariantAnnotation/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘tabulate’ in package ‘VariantAnnotation’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (VariantAnnotation) begin installing package ‘biovizBase’ * installing *source* package ‘monocle’ ... ** this is package ‘monocle’ version ‘2.38.0’ ** package ‘monocle’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpqOBw3a/R.INSTALL210b915133f1fd/monocle/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clustering.cpp -o clustering.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o monocle.so RcppExports.o clustering.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpqOBw3a/R.INSTALL210b915133f1fd/monocle/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-monocle/00new/monocle/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (monocle) * installing *source* package ‘scuttle’ ... ** this is package ‘scuttle’ version ‘1.20.0’ ** package ‘scuttle’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmprkVwBk/R.INSTALL20f58cdfe7764/scuttle/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cumulative_prop.cpp -o cumulative_prop.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:11, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/beachmat.h:24, from cumulative_prop.cpp:2: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:95:27: warning: ‘virtual const double* beachmat::lin_matrix::get_row(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 95 | virtual const double* get_row(size_t r, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:66:24: warning: ‘virtual const int* beachmat::lin_matrix::get_row(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 66 | virtual const int* get_row(size_t r, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:81:27: warning: ‘virtual const double* beachmat::lin_matrix::get_col(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 81 | virtual const double* get_col(size_t c, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:52:24: warning: ‘virtual const int* beachmat::lin_matrix::get_col(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 52 | virtual const int* get_col(size_t c, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:12: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:36:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 36 | return std::unique_ptr(new integer_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:38:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 38 | return std::unique_ptr(new double_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:40:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 40 | return std::unique_ptr(new logical_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c downsample_counts.cpp -o downsample_counts.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:11, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/beachmat.h:24, from downsample_counts.cpp:2: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:95:27: warning: ‘virtual const double* beachmat::lin_matrix::get_row(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 95 | virtual const double* get_row(size_t r, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:66:24: warning: ‘virtual const int* beachmat::lin_matrix::get_row(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 66 | virtual const int* get_row(size_t r, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:81:27: warning: ‘virtual const double* beachmat::lin_matrix::get_col(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 81 | virtual const double* get_col(size_t c, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:52:24: warning: ‘virtual const int* beachmat::lin_matrix::get_col(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 52 | virtual const int* get_col(size_t c, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:12: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:36:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 36 | return std::unique_ptr(new integer_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:38:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 38 | return std::unique_ptr(new double_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:40:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 40 | return std::unique_ptr(new logical_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fit_linear_model.cpp -o fit_linear_model.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:11, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/beachmat.h:24, from fit_linear_model.cpp:2: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:95:27: warning: ‘virtual const double* beachmat::lin_matrix::get_row(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 95 | virtual const double* get_row(size_t r, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:66:24: warning: ‘virtual const int* beachmat::lin_matrix::get_row(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 66 | virtual const int* get_row(size_t r, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:81:27: warning: ‘virtual const double* beachmat::lin_matrix::get_col(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 81 | virtual const double* get_col(size_t c, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:52:24: warning: ‘virtual const int* beachmat::lin_matrix::get_col(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 52 | virtual const int* get_col(size_t c, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:12: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:36:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 36 | return std::unique_ptr(new integer_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:38:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 38 | return std::unique_ptr(new double_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:40:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 40 | return std::unique_ptr(new logical_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pool_size_factors.cpp -o pool_size_factors.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:11, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/beachmat.h:24, from pool_size_factors.cpp:2: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:66:24: warning: ‘virtual const int* beachmat::lin_matrix::get_row(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 66 | virtual const int* get_row(size_t r, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:95:27: warning: ‘virtual const double* beachmat::lin_matrix::get_row(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 95 | virtual const double* get_row(size_t r, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:81:27: warning: ‘virtual const double* beachmat::lin_matrix::get_col(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 81 | virtual const double* get_col(size_t c, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:52:24: warning: ‘virtual const int* beachmat::lin_matrix::get_col(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 52 | virtual const int* get_col(size_t c, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ pool_size_factors.cpp: In function ‘Rcpp::List pool_size_factors(Rcpp::RObject, Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::IntegerVector)’: pool_size_factors.cpp:56:15: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 56 | if (ngenes!=pseudo_cell.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~ pool_size_factors.cpp:61:22: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘long unsigned int’ [-Wsign-compare] 61 | if (order.size() < ncells*2-1) { | ~~~~~~~~~~~~~^~~~~~~~~~~~ pool_size_factors.cpp:170:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 170 | for (auto i=0; i::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:36:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 36 | return std::unique_ptr(new integer_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:38:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 38 | return std::unique_ptr(new double_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:40:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 40 | return std::unique_ptr(new logical_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sparse_summarize.cpp -o sparse_summarize.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sum_counts.cpp -o sum_counts.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:11, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/beachmat.h:24, from sum_counts.cpp:2: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:95:27: warning: ‘virtual const double* beachmat::lin_matrix::get_row(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 95 | virtual const double* get_row(size_t r, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:66:24: warning: ‘virtual const int* beachmat::lin_matrix::get_row(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 66 | virtual const int* get_row(size_t r, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:218:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_row(size_t, int*, int*, size_t, size_t)’ 218 | virtual sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:81:27: warning: ‘virtual const double* beachmat::lin_matrix::get_col(size_t, double*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 81 | virtual const double* get_col(size_t c, double* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:52:24: warning: ‘virtual const int* beachmat::lin_matrix::get_col(size_t, int*, size_t, size_t)’ was hidden [-Woverloaded-virtual=] 52 | virtual const int* get_col(size_t c, int* work, size_t first, size_t last) = 0; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:236:43: note: by ‘virtual beachmat::sparse_index beachmat::lin_sparse_matrix::get_col(size_t, int*, int*, size_t, size_t)’ 236 | virtual sparse_index get_col(size_t c, int* work_x, int* work_i, size_t first, size_t last) = 0; | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:12: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<13>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:36:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 36 | return std::unique_ptr(new integer_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:38:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 38 | return std::unique_ptr(new double_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::SparseArraySeed_reader::SparseArraySeed_reader(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:561:46: required from ‘beachmat::lin_SparseArraySeed::lin_SparseArraySeed(Rcpp::RObject) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; Rcpp::RObject = Rcpp::RObject_Impl]’ 561 | lin_SparseArraySeed(Rcpp::RObject mat) : reader(mat) { | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:40:39: required from ‘std::unique_ptr<_Tp> beachmat::read_lin_sparse_block_raw(Rcpp::RObject) [with M = lin_matrix; Rcpp::RObject = Rcpp::RObject_Impl]’ 40 | return std::unique_ptr(new logical_SparseArraySeed(block)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/read_lin_block.h:65:57: required from here 65 | auto ptr = read_lin_sparse_block_raw(block); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:535:17: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 535 | if (nnz != x.size()) { | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:551:73: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 551 | if (lastR <= 0 || lastR > NR || lastC <= 0 || lastC > NC) { | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:593:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int v = 0; v < nnz; ++v, ++rowIt, ++colIt, ++xIt) { | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const double*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<14, Rcpp::PreserveStorage>; TIT = const double*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const int*; ALT = int*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const int*; ALT = int*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:596:51: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, int*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 596 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:595:35: required from here 595 | sparse_index get_row(size_t r, int* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h: In instantiation of ‘beachmat::sparse_index beachmat::Csparse_core::get_row(size_t, ALT, I*, size_t, size_t) [with OUT = const double*; ALT = double*; TIT = const int*; I = int; P = long unsigned int; size_t = long unsigned int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:650:42: required from ‘beachmat::sparse_index beachmat::SparseArraySeed_reader::get_row(size_t, ALT, int*, size_t, size_t) [with OUT = const double*; ALT = double*; V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 650 | return core.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:602:54: required from ‘beachmat::sparse_index beachmat::lin_SparseArraySeed::get_row(size_t, double*, int*, size_t, size_t) [with V = Rcpp::Vector<10, Rcpp::PreserveStorage>; TIT = const int*; size_t = long unsigned int]’ 602 | return reader.template get_row(r, work_x, work_i, first, last); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/lin_matrix.h:601:38: required from here 601 | sparse_index get_row(size_t r, double* work_x, int* work_i, size_t first, size_t last) { | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include/beachmat3/Csparse_reader.h:250:22: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 250 | if (idex != *pIt && static_cast(i[idex]) == r) { | ~~~~~^~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o scuttle.so RcppExports.o cumulative_prop.o downsample_counts.o fit_linear_model.o pool_size_factors.o sparse_summarize.o sum_counts.o utils.o -llapack -L/home/hornik/tmp/R-d-gcc-15/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmprkVwBk/R.INSTALL20f58cdfe7764/scuttle/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-scuttle/00new/scuttle/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scuttle) begin installing package ‘DropletUtils’ * installing *source* package ‘infercnv’ ... ** this is package ‘infercnv’ version ‘1.26.0’ ** package ‘infercnv’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (infercnv) * installing *source* package ‘rnndescent’ ... ** this is package ‘rnndescent’ version ‘0.1.8’ ** package ‘rnndescent’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp2vItlu/R.INSTALL20f224283ccb7/rnndescent/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_bruteforce.cpp -o rnn_bruteforce.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_hub.cpp -o rnn_hub.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_indextograph.cpp -o rnn_indextograph.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_merge.cpp -o rnn_merge.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_nnd.cpp -o rnn_nnd.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_prepare.cpp -o rnn_prepare.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_randnbrs.cpp -o rnn_randnbrs.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_rptree.cpp -o rnn_rptree.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_search.cpp -o rnn_search.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/sitmo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DSTRICT_R_HEADERS -DRCPP_NO_MODULES -fpic -g -O2 -Wall -pedantic -mtune=native -c rnn_util.cpp -o rnn_util.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o rnndescent.so RcppExports.o rnn_bruteforce.o rnn_hub.o rnn_indextograph.o rnn_merge.o rnn_nnd.o rnn_prepare.o rnn_randnbrs.o rnn_rptree.o rnn_search.o rnn_util.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp2vItlu/R.INSTALL20f224283ccb7/rnndescent/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rnndescent/00new/rnndescent/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rnndescent) * installing *source* package ‘motifmatchr’ ... ** this is package ‘motifmatchr’ version ‘1.32.0’ ** package ‘motifmatchr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpjhJBSp/R.INSTALL210be94dff7b0f/motifmatchr/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c r_interface.cpp -o r_interface.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MOODS/scanner.cpp -o MOODS/scanner.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MOODS/motif_h.cpp -o MOODS/motif_h.o MOODS/motif_h.cpp: In member function ‘std::vector MOODS::scan::MotifH::expected_scores(const std::vector&)’: MOODS/motif_h.cpp:26:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 26 | for (int i = 0; i < cols; ++i){ | ~~^~~~~~ MOODS/motif_h.cpp:27:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 27 | for (int j = 0; j < rows; ++j){ | ~~^~~~~~ MOODS/motif_h.cpp: In member function ‘virtual std::pair MOODS::scan::MotifH::check_hit(const std::string&, const std::vector&, std::size_t, double)’: MOODS/motif_h.cpp:256:25: warning: suggest parentheses around arithmetic in operand of ‘^’ [-Wparentheses] 256 | CODE = MASK & (CODE << SHIFT) ^ alphabet_map[s[ii + i + q - 1]]; | ~~~~~^~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MOODS/motif_0.cpp -o MOODS/motif_0.o MOODS/motif_0.cpp: In function ‘std::vector MOODS::scan::expected_differences(const score_matrix&, const std::vector&)’: MOODS/motif_0.cpp:28:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 28 | for (int i = 0; i < m; ++i) | ~~^~~ MOODS/motif_0.cpp:31:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int j = 0; j < a; ++j) | ~~^~~ MOODS/motif_0.cpp:38:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 38 | for (int j = 0; j < a; ++j) | ~~^~~ MOODS/motif_0.cpp: In function ‘unsigned int MOODS::scan::window_position(const std::vector&, unsigned int, unsigned int)’: MOODS/motif_0.cpp:64:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 64 | for (int i = 0; i < m - l; ++i) | ~~^~~~~~~ MOODS/motif_0.cpp: In function ‘std::vector MOODS::scan::compute_lookahead_order(const std::vector&, unsigned int, unsigned int, unsigned int)’: MOODS/motif_0.cpp:96:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 96 | for (int i = 0; i < window_pos; ++i) | ~~^~~~~~~~~~~~ MOODS/motif_0.cpp:100:38: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 100 | for (int i = window_pos+l; i < m; ++i) | ~~^~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MOODS/moods_tools.cpp -o MOODS/moods_tools.o MOODS/moods_tools.cpp: In function ‘double MOODS::tools::threshold_from_p(const score_matrix&, const std::vector&, const double&)’: MOODS/moods_tools.cpp:155:26: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 155 | for (size_t i = 0; i < n; ++i) | ~~^~~ MOODS/moods_tools.cpp:157:30: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 157 | for (size_t j = 0; j < a; ++j) | ~~^~~ MOODS/moods_tools.cpp:168:26: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 168 | for (size_t i = 0; i < n; ++i) | ~~^~~ MOODS/moods_tools.cpp:172:30: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 172 | for (size_t j = 1; j < a; ++j) | ~~^~~ MOODS/moods_tools.cpp:190:26: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 190 | for (size_t j = 0; j < a; ++j) | ~~^~~ MOODS/moods_tools.cpp:193:26: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 193 | for (size_t i = 1; i < n; ++i) | ~~^~~ MOODS/moods_tools.cpp:195:30: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 195 | for (size_t j = 0; j < a; ++j) | ~~^~~ MOODS/moods_tools.cpp: In function ‘score_matrix MOODS::tools::log_odds(const std::vector >&, const std::vector >&, const std::vector&, double, std::size_t)’: MOODS/moods_tools.cpp:320:38: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 320 | for (size_t PCODE = 0; PCODE < 1 << (SHIFT * r); ++PCODE ){ | ~~~~~~^~~~~~~~~~~~~~~~~~ MOODS/moods_tools.cpp:328:46: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 328 | for (size_t SCODE = 0; SCODE < 1 << (SHIFT * (q - r - 1)); ++SCODE){ | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ MOODS/moods_tools.cpp: In function ‘double MOODS::tools::threshold_from_p(const score_matrix&, const std::vector&, const double&, std::size_t)’: MOODS/moods_tools.cpp:454:26: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 454 | for (size_t i = 0; i < cols; ++i) | ~~^~~~~~ MOODS/moods_tools.cpp:456:36: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 456 | for (size_t CODE = 0; CODE < rows; ++CODE) | ~~~~~^~~~~~ MOODS/moods_tools.cpp:468:26: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 468 | for (size_t i = 0; i < cols; ++i) | ~~^~~~~~ MOODS/moods_tools.cpp:472:36: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 472 | for (size_t CODE = 1; CODE < rows; ++CODE) | ~~~~~^~~~~~ MOODS/moods_tools.cpp:489:32: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 489 | for (size_t CODE = 0; CODE < (1 << (SHIFT * q)); ++CODE){ | ~~~~~^~~~~~~~~~~~~~~~~~~~ MOODS/moods_tools.cpp:500:26: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 500 | for (size_t i = 1; i < cols; ++i) | ~~^~~~~~ MOODS/moods_tools.cpp:503:36: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 503 | for (size_t CODE = 0; CODE < (1 << (SHIFT * q)); ++CODE) | ~~~~~^~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MOODS/moods_scan.cpp -o MOODS/moods_scan.o MOODS/moods_scan.cpp: In function ‘std::vector > MOODS::scan::scan_best_hits_dna(const std::string&, const std::vector > >&, std::size_t, int, unsigned int, std::size_t, std::size_t)’: MOODS/moods_scan.cpp:97:14: warning: unused variable ‘done’ [-Wunused-variable] 97 | bool done = 0; | ^~~~ MOODS/moods_scan.cpp: In function ‘std::vector MOODS::scan::naive_scan_dna(const std::string&, score_matrix, double, std::size_t)’: MOODS/moods_scan.cpp:252:33: warning: suggest parentheses around arithmetic in operand of ‘|’ [-Wparentheses] 252 | CODE = MASK & (CODE << SHIFT) | alphabet_map[seq[i+j+q-1]]; | ~~~~~^~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MOODS/moods_parsers.cpp -o MOODS/moods_parsers.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MOODS/moods_misc.cpp -o MOODS/moods_misc.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I./MOODS/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c MOODS/match_types.cpp -o MOODS/match_types.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o motifmatchr.so ./RcppExports.o ./r_interface.o ./MOODS/scanner.o ./MOODS/motif_h.o ./MOODS/motif_0.o ./MOODS/moods_tools.o ./MOODS/moods_scan.o ./MOODS/moods_parsers.o ./MOODS/moods_misc.o ./MOODS/match_types.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpjhJBSp/R.INSTALL210be94dff7b0f/motifmatchr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-motifmatchr/00new/motifmatchr/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (motifmatchr) * installing *source* package ‘biovizBase’ ... ** this is package ‘biovizBase’ version ‘1.58.0’ ** package ‘biovizBase’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmppeBOie/R.INSTALL210e102e2bb22e/biovizBase/src' gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_biovizBase.c -o R_init_biovizBase.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bin_offsets.c -o bin_offsets.o bin_offsets.c: In function ‘scan_bam_bin_offsets’: bin_offsets.c:57:15: warning: pointer targets in passing argument 1 of ‘strncmp’ differ in signedness [-Wpointer-sign] 57 | if (strncmp(b, "BAI\1", 4)) | ^ | | | Rbyte * {aka unsigned char *} In file included from /home/hornik/tmp/R-d-gcc-15/include/R_ext/RS.h:34, from /home/hornik/tmp/R-d-gcc-15/include/Rdefines.h:38, from bin_offsets.h:1, from bin_offsets.c:3: /usr/include/string.h:159:33: note: expected ‘const char *’ but argument is of type ‘Rbyte *’ {aka ‘unsigned char *’} 159 | extern int strncmp (const char *__s1, const char *__s2, size_t __n) | ~~~~~~~~~~~~^~~~ gcc-15 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o biovizBase.so R_init_biovizBase.o bin_offsets.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmppeBOie/R.INSTALL210e102e2bb22e/biovizBase/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-biovizBase/00new/biovizBase/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (biovizBase) * installing *source* package ‘chromVAR’ ... ** this is package ‘chromVAR’ version ‘1.32.0’ ** package ‘chromVAR’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpdH0S4G/R.INSTALL210be734af4c4f/chromVAR/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pwm_similarity.cpp -o pwm_similarity.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o utils.cpp: In function ‘Rcpp::NumericVector row_sds(arma::mat&, bool)’: utils.cpp:12:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 12 | for( int j=0; j < X.n_rows; j++ ) { | ~~^~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o chromVAR.so RcppExports.o pwm_similarity.o utils.o -llapack -L/home/hornik/tmp/R-d-gcc-15/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpdH0S4G/R.INSTALL210be734af4c4f/chromVAR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-chromVAR/00new/chromVAR/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (chromVAR) * installing *source* package ‘spaMM’ ... ** this is package ‘spaMM’ version ‘4.6.1’ ** package ‘spaMM’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpoHLNfN/R.INSTALL20fe2c43b46247/spaMM/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c COMPoisson.cpp -o COMPoisson.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c PLS.cpp -o PLS.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from spaMM_linear.h:4, from PLS.cpp:1: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ 32 | class MappedSparseMatrix | ^~~~~~~~~~~~~~~~~~ PLS.h:21:11: required from here 21 | int nc=X.cols(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ PLS.h:23:24: required from here 23 | XtX= X.transpose() * X; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ PLS.h:23:24: required from here 23 | XtX= X.transpose() * X; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.h:30:48: required from here 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.h:30:48: required from here 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ PLS.h:30:48: required from here 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ 287 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ PLS.h:102:69: required from here 102 | resu["tQ"] = Eigen::SparseMatrix (Q.leftCols(X.cols()).transpose()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:55:19: required from here 55 | Map A(as >(RD)); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ PLS.cpp:55:19: required from here 55 | Map A(as >(RD)); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ 103 | template class Block | ^~~~~ PLS.cpp:78:24: required from here 78 | return(wrap(A.topRows(n_col))); | ~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19: required from ‘class Eigen::HouseholderQR >’ 242 | RowVectorType m_temp; | ^~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.cpp:89:37: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ PLS.cpp:95:50: required from here 95 | resu["t_Q_scaled"] = MatrixXd(thinQ.transpose()); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ PLS.cpp:99:60: required from here 99 | resu["R_scaled"] = MatrixXd(QR.matrixQR().topLeftCorner(r,r).triangularView()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.cpp:113:38: required from here 113 | resu["coef"] = VectorXd(QRP.solve(y)); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: required from ‘struct Eigen::internal::traits >, 2> >’ 175 | typedef typename MatrixType::PlainObject FullMatrixType; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase >, 2> >’ 42 | typedef typename internal::traits::StorageKind StorageKind; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:27:34: required from ‘class Eigen::TriangularBase >, 2> >’ 27 | template class TriangularBase : public EigenBase | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:345:58: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Dense>’ 345 | template class TriangularViewImpl<_MatrixType,_Mode,Dense> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ PLS.cpp:163:60: required from here 163 | List out = List::create(Named("R") = MatrixXd(llt.matrixU()), | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ PLS.h:30:46: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); | ~~~~~~~~~~~~~~^~~ PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.h:30:30: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: required from ‘struct Eigen::internal::traits >, 6> >’ 175 | typedef typename MatrixType::PlainObject FullMatrixType; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase >, 6> >’ 42 | typedef typename internal::traits::StorageKind StorageKind; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase >, 6> >’ 26 | template class SparseMatrixBase | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ PLS.h:39:49: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 39 | Eigen::SparseMatrix U = LDLp.matrixU(); | ~~~~~~~~~~~~^~ PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ PLS.h:39:49: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 39 | Eigen::SparseMatrix U = LDLp.matrixU(); | ~~~~~~~~~~~~^~ PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.h:30:30: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::NaturalOrdering; SEXP = SEXPREC*]’ 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ PLS.cpp:21:67: required from here 21 | } else return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 22 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.h:61:29: required from ‘SEXPREC* lmwith_sparse_LL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 61 | resu["coef"] = LLp.solve( X.transpose() * y ); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ PLS.cpp:28:60: required from here 28 | return(lmwith_sparse_LL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 29 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ PLS.h:69:48: required from ‘SEXPREC* lmwith_sparse_LL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 69 | Eigen::SparseMatrix R = LLp.matrixU(); | ~~~~~~~~~~~^~ PLS.cpp:28:60: required from here 28 | return(lmwith_sparse_LL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 29 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::NaturalOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.h:61:29: required from ‘SEXPREC* lmwith_sparse_LL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::NaturalOrdering; SEXP = SEXPREC*]’ 61 | resu["coef"] = LLp.solve( X.transpose() * y ); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ PLS.cpp:30:66: required from here 30 | } else return(lmwith_sparse_LL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 31 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 426 | res(other.template cast::ResultScalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.h:87:38: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ~~~~~~~~~^~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, -1, -1, true>, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ PLS.h:102:79: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 102 | resu["tQ"] = Eigen::SparseMatrix (Q.leftCols(X.cols()).transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ 333 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ PLS.h:107:47: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::COLAMDOrdering >, Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::SparseMatrix, Eigen::Sparse>’ 104 | class SolveImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.h:107:78: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); | ~~~~~~~~~^~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ PLS.h:107:67: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::NaturalOrdering >, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::NaturalOrdering >, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::NaturalOrdering >, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::NaturalOrdering >, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::NaturalOrdering >, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.h:87:38: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::NaturalOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ~~~~~~~~~^~~ PLS.cpp:146:66: required from here 146 | } else return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 147 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::NaturalOrdering >, Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl, Eigen::NaturalOrdering >, Eigen::SparseMatrix, Eigen::Sparse>’ 104 | class SolveImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ PLS.h:107:78: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::NaturalOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); | ~~~~~~~~~^~~ PLS.cpp:146:66: required from here 146 | } else return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 147 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ PLS.h:107:67: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::NaturalOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ PLS.cpp:146:66: required from here 146 | } else return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 147 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ 83 | template class SparseRefBase | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 177 | class Ref, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ 128 | Ref > tmp(other.derived()); | ^~~ PLS.cpp:201:36: required from here 201 | out.leftCols(matrix1.cols()) = matrix1; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~^~~ PLS.cpp:201:36: required from here 201 | out.leftCols(matrix1.cols()) = matrix1; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::internal::IteratorBased, double>’ 58 | typedef typename evaluator::InnerIterator EvalIterator; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:78:54: required from ‘struct Eigen::internal::unary_evaluator >, 6>, Eigen::internal::IteratorBased, double>’ 78 | typedef typename evaluator::InnerIterator EvalIterator; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 6> >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::TriangularView >, 6>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ PLS.h:39:49: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 39 | Eigen::SparseMatrix U = LDLp.matrixU(); | ~~~~~~~~~~~~^~ PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ PLS.cpp:93:22: required from here 93 | thinQ.setIdentity(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 282 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ PLS.h:83:87: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 83 | Eigen::SparseQR< Eigen::SparseMatrix , OrderingType > QRp(X); | ^ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ 549 | struct unary_evaluator,BlockRows,BlockCols,true>, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IteratorBased, double>’ 58 | typedef typename evaluator::InnerIterator EvalIterator; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose, -1, -1, true> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ PLS.h:102:27: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 102 | resu["tQ"] = Eigen::SparseMatrix (Q.leftCols(X.cols()).transpose()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IteratorBased, double>’ 58 | typedef typename evaluator::InnerIterator EvalIterator; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose, -1, -1, true> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ PLS.h:102:27: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 102 | resu["tQ"] = Eigen::SparseMatrix (Q.leftCols(X.cols()).transpose()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ PLS.h:114:7: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 114 | R = QRp.matrixR().topLeftCorner(r,r); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:33: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:91: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 364 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’ 45 | EvaluatorType matEval(m_matrix); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ PLS.cpp:201:36: required from here 201 | out.leftCols(matrix1.cols()) = matrix1; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:386:26: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 386 | SubVectorsType sub_vecs1(m_vectors.const_cast_derived(), Side==OnTheRight ? k : start, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:343:32: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 343 | Block hCoeffsSegment = hCoeffs.segment(k,bs); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 90 | Matrix T(nbVecs,nbVecs); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 6>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 127 | Map::type> tmp(workspace,cols()); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 128 | Block bottom(derived(), 1, 0, rows()-1, cols()); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 45 | VectorBlock::ret> essentialPart(derived(), 1, size()-1); | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ 287 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 415 | for (int j = 0; j < n; j++) max2Norm = numext::maxi(max2Norm, m_pmat.col(j).norm()); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 130 | factorize(mat); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:118:7: required from ‘Eigen::SparseQR::SparseQR(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 118 | compute(mat); | ^~~~~~~ PLS.h:83:83: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 83 | Eigen::SparseQR< Eigen::SparseMatrix , OrderingType > QRp(X); | ^~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::PermutationMatrix<-1, -1, int>, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::PermutationMatrix<-1, -1, int>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 601 | m_R = tempR * m_pivotperm; | ~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 130 | factorize(mat); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:118:7: required from ‘Eigen::SparseQR::SparseQR(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 118 | compute(mat); | ^~~~~~~ PLS.h:83:83: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 83 | Eigen::SparseQR< Eigen::SparseMatrix , OrderingType > QRp(X); | ^~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from ‘Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Map >]’ 700 | return setConstant(Scalar(1)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:754:72: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 754 | Eigen::Map(this->m_data.valuePtr(), rows()).setOnes(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ PLS.h:106:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 106 | I.setIdentity(); | ~~~~~~~~~~~~~^~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:173:17: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::SparseMatrix]’ 173 | RowMajorRhs rhsRow = rhs; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductType = 8]’ 75 | internal::conservative_sparse_sparse_product_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | typename remove_all::type, Dest>::run(lhsNested,rhsNested,dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductType = 8]’ 43 | evalTo(dst, lhs, rhs, typename evaluator_traits::Shape()); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ PLS.h:23:24: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 23 | XtX= X.transpose() * X; | ^ PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:12: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:20: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 123 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:76:64: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 76 | VectorBlock tail(derived(), 1, size()-1); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ 549 | struct unary_evaluator,BlockRows,BlockCols,true>, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 29 | internal::evaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 492 | tdot = m_Q.col(curIdx).dot(tval); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 130 | factorize(mat); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:118:7: required from ‘Eigen::SparseQR::SparseQR(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 118 | compute(mat); | ^~~~~~~ PLS.h:83:83: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 83 | Eigen::SparseQR< Eigen::SparseMatrix , OrderingType > QRp(X); | ^~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 29 | internal::evaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 492 | tdot = m_Q.col(curIdx).dot(tval); | ~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 130 | factorize(mat); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:118:7: required from ‘Eigen::SparseQR::SparseQR(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 118 | compute(mat); | ^~~~~~~ PLS.h:83:83: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 83 | Eigen::SparseQR< Eigen::SparseMatrix , OrderingType > QRp(X); | ^~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 323 | Block A21(mat,k+1,k,rs,1); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 323 | Block A21(mat,k+1,k,rs,1); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:35:18: required from ‘void Eigen::internal::conservative_sparse_sparse_product_impl(const Lhs&, const Rhs&, ResultType&, bool) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; ResultType = Eigen::SparseMatrix]’ 35 | evaluator lhsEval(lhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:175:83: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::SparseMatrix]’ 175 | internal::conservative_sparse_sparse_product_impl(rhsRow, lhs, resRow); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductType = 8]’ 75 | internal::conservative_sparse_sparse_product_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | typename remove_all::type, Dest>::run(lhsNested,rhsNested,dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductType = 8]’ 43 | evalTo(dst, lhs, rhs, typename evaluator_traits::Shape()); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ PLS.h:23:24: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 23 | XtX= X.transpose() * X; | ^ PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, false>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:75: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:113:41: required from here 113 | resu["coef"] = VectorXd(QRP.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:113:41: required from here 113 | resu["coef"] = VectorXd(QRP.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 79 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 87 | return sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 415 | for (int j = 0; j < n; j++) max2Norm = numext::maxi(max2Norm, m_pmat.col(j).norm()); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 130 | factorize(mat); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:118:7: required from ‘Eigen::SparseQR::SparseQR(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 118 | compute(mat); | ^~~~~~~ PLS.h:83:83: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 83 | Eigen::SparseQR< Eigen::SparseMatrix , OrderingType > QRp(X); | ^~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::SparseMatrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::SparseMatrix > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::SparseMatrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::SparseMatrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::SparseMatrix > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::NaturalOrdering >, Eigen::SparseMatrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::NaturalOrdering >, Eigen::SparseMatrix > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::NaturalOrdering >, Eigen::SparseMatrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::NaturalOrdering >, Eigen::SparseMatrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::NaturalOrdering >, Eigen::SparseMatrix > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::NaturalOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::NaturalOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::NaturalOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::NaturalOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::NaturalOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:146:66: required from here 146 | } else return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 147 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 328 | if (k>0) x -= A10.squaredNorm(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 328 | if (k>0) x -= A10.squaredNorm(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ 306 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:48:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 601 | m_R = tempR * m_pivotperm; | ~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 130 | factorize(mat); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:118:7: required from ‘Eigen::SparseQR::SparseQR(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 118 | compute(mat); | ^~~~~~~ PLS.h:83:83: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 83 | Eigen::SparseQR< Eigen::SparseMatrix , OrderingType > QRp(X); | ^~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Map > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Map > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Map > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Map > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::Map > > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Map > >’ 613 | struct SparseQR_QProduct : ReturnByValue > | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.h:87:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ^~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, -1, -1, false>, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false>, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Map >; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ 219 | y.topRows(rank) = this->matrixR().topLeftCorner(rank, rank).template triangularView().solve(b.topRows(rank)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.h:87:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ^~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.h:87:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ^~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.h:87:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ^~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:280:45: required from ‘void Eigen::SparseQR::_sort_matrix_Q() [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ 280 | SparseMatrix mQrm(this->m_Q); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:737:58: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; SrcXprType = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; typename DstXprType::Scalar = double]’ 737 | const_cast(&src.m_qr)->_sort_matrix_Q(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::NaturalOrdering >, Eigen::Map > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::NaturalOrdering >, Eigen::Map > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::NaturalOrdering >, Eigen::Map > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::NaturalOrdering >, Eigen::Map > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::NaturalOrdering >, Eigen::Map > > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::NaturalOrdering >, Eigen::Map > >’ 613 | struct SparseQR_QProduct : ReturnByValue > | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::NaturalOrdering >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::NaturalOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::NaturalOrdering >, Eigen::Map > >; OtherDerived = Eigen::Solve, Eigen::NaturalOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::NaturalOrdering >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.h:87:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::NaturalOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ^~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:146:66: required from here 146 | } else return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 147 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 217 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 231 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 231 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 232 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:113:41: required from here 113 | resu["coef"] = VectorXd(QRP.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:281:17: required from ‘void Eigen::SparseQR::_sort_matrix_Q() [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ 281 | this->m_Q = mQrm; | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:737:58: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; SrcXprType = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; typename DstXprType::Scalar = double]’ 737 | const_cast(&src.m_qr)->_sort_matrix_Q(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 328 | if (k>0) x -= A10.squaredNorm(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 289 | gebp_kernel(lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 290 | blockA, blockB+j2*actual_kc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 291 | actual_mc, panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 292 | Scalar(-1), | ~~~~~~~~~~~ 293 | actual_kc, actual_kc, // strides | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 294 | panelOffset, panelOffset); // offsets | ~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 134 | general_matrix_vector_product::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 135 | r, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~ 136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 137 | RhsMapper(rhs+startBlock, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | rhs+endBlock, 1, RhsScalar(-1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Side = 1; int Mode = 2]’ 71 | triangular_solve_vector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, 1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 134 | general_matrix_vector_product::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 135 | r, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~ 136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 137 | RhsMapper(rhs+startBlock, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | rhs+endBlock, 1, RhsScalar(-1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Side = 1; int Mode = 2]’ 71 | triangular_solve_vector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, 1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 134 | general_matrix_vector_product::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 135 | r, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~ 136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 137 | RhsMapper(rhs+startBlock, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 138 | rhs+endBlock, 1, RhsScalar(-1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Side = 1; int Mode = 2]’ 71 | triangular_solve_vector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, 1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:730:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 2>, Eigen::internal::IndexBased, double>’ 730 | struct unary_evaluator, IndexBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2> >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:807:20: required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Matrix; SrcXprType = Eigen::TriangularView, -1, -1, false>, 2>; Functor = assign_op]’ 807 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::TriangularView, -1, -1, false>, 2>; Functor = Eigen::internal::assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, -1, -1, false>, 2>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, -1, -1, false>, 2>; Derived = Eigen::Matrix]’ 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, -1, -1, false>, 2>; Derived = Eigen::Matrix]’ 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, -1, -1, false>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:897:23: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::EigenBase&) [with T = Eigen::TriangularView, -1, -1, false>, 2>; OtherDerived = Eigen::TriangularView, -1, -1, false>, 2>; Derived = Eigen::Matrix]’ 897 | this->derived() = other; | ~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::TriangularView, -1, -1, false>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:99:89: required from here 99 | resu["R_scaled"] = MatrixXd(QR.matrixQR().topLeftCorner(r,r).triangularView()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:113:41: required from here 113 | resu["coef"] = VectorXd(QRP.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::SparseMatrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::SparseMatrix]’ 642 | res.col(j) -= tau * m_qr.m_Q.col(k); | ~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::SparseMatrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:28:15: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 28 | other.evalTo(derived()); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 333 | if (rs>0) A21 /= x; | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 333 | if (rs>0) A21 /= x; | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 123 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:15: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ 558 | struct unary_evaluator,BlockRows,BlockCols,true>, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:53:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 53 | internal::evaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:53:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 53 | internal::evaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::SparseMatrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::SparseMatrix]’ 639 | tau = m_qr.m_Q.col(k).dot(res.col(j)); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::SparseMatrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:28:15: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 28 | other.evalTo(derived()); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:657:32: required from ‘Derived& Eigen::SparseMatrixBase::operator-=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>]’ 657 | return derived() = derived() - other.derived(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:22: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::SparseMatrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::SparseMatrix]’ 642 | res.col(j) -= tau * m_qr.m_Q.col(k); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::SparseMatrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:28:15: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.h:87:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ^~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block >, -1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block >, -1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, -1, -1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Block >, -1, -1, false>; OtherDerived = Eigen::Block >, -1, -1, false>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Block >, -1, -1, false>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Block >, -1, -1, false>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Block >, -1, -1, false>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Block >, -1, -1, false>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Block >, -1, -1, false>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:78:14: required from here 78 | return(wrap(A.topRows(n_col))); | ~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:113:41: required from here 113 | resu["coef"] = VectorXd(QRP.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:34:49: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 34 | res += numext::conj(i.value()) * other.coeff(i.index()); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Map >]’ 639 | tau = m_qr.m_Q.col(k).dot(res.col(j)); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Map > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.h:87:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ^~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.h:87:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ^~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:30:18: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT, 1, Eigen::COLAMDOrdering >]’ 178 | derived().matrixL().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT, 1, Eigen::COLAMDOrdering >; RhsType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:30:18: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:30:18: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:30:18: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:187:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:30:18: required from ‘SEXPREC* lmwith_sparse_LDL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 30 | resu["coef"] = LDLp.solve( X.transpose() * y ); PLS.cpp:19:61: required from here 19 | return(lmwith_sparse_LDL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 20 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::COLAMDOrdering >]’ 178 | derived().matrixL().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::COLAMDOrdering >; RhsType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0>; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Solve, 1, Eigen::COLAMDOrdering >, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:61:18: required from ‘SEXPREC* lmwith_sparse_LL_oT(SEXP, SEXP, bool, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 61 | resu["coef"] = LLp.solve( X.transpose() * y ); PLS.cpp:28:60: required from here 28 | return(lmwith_sparse_LL_oT >( XX, yy, returntQ, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ 29 | returnR, pivot )); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:155:56: required from here 155 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:109:51: required from here 109 | const Eigen::ColPivHouseholderQR QRP(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1194 | OtherCopy otherCopy(other.derived()); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 231 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1195 | OtherCopyEval otherCopyEval(otherCopy); | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 231 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:19:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; Derived = Eigen::SparseMatrix]’ 19 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::SparseQRMatrixQReturnType, Eigen::COLAMDOrdering > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 787 | { return Base::operator=(other.derived()); } | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ PLS.h:99:9: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 99 | Q = QRp.matrixQ(); // clumsy (other way?) | ~~^~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ PLS.cpp:85:44: required from here 85 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ 306 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseQR, Eigen::COLAMDOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 38 | tmp.leftCols(actualCols) = rhs.middleCols(k,actualCols); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseQR, Eigen::COLAMDOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 39 | tmpX.leftCols(actualCols) = dec.solve(tmp.leftCols(actualCols)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView, -1, -1, true> >’ 45 | class SparseView : public SparseMatrixBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseQR, Eigen::COLAMDOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 40 | dest.middleCols(k,actualCols) = tmpX.leftCols(actualCols).sparseView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseQR, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseQR, Eigen::NaturalOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 39 | tmpX.leftCols(actualCols) = dec.solve(tmp.leftCols(actualCols)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::NaturalOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:146:66: required from here 146 | } else return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 147 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.h:87:20: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 87 | resu["coef"] = VectorXd(QRp.solve(y)); | ^~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PLS.cpp:94:32: required from here 94 | thinQ= QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 ... but still comparatively slow. | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ 558 | struct unary_evaluator,BlockRows,BlockCols,true>, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ 145 | internal::evaluator srcEval(src); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ 145 | internal::evaluator srcEval(src); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Block, -1, -1, true>]’ 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::HouseholderQR >; RhsType = Eigen::Map >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Map > >; OtherDerived = Eigen::Solve >, Eigen::Map > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Map > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ PLS.cpp:89:40: required from here 89 | resu["coef"] = VectorXd(QR.solve(y)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> >’ 613 | struct SparseQR_QProduct : ReturnByValue > | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Block, -1, -1, false>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, -1, false> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Block, -1, -1, true>; Dest = Eigen::Block, -1, -1, true>; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ 219 | y.topRows(rank) = this->matrixR().topLeftCorner(rank, rank).template triangularView().solve(b.topRows(rank)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::NaturalOrdering >, Eigen::Block, -1, -1, true> >’ 613 | struct SparseQR_QProduct : ReturnByValue > | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::NaturalOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::NaturalOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:146:66: required from here 146 | } else return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 147 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Block, -1, -1, true>, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Block, -1, -1, true>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, 1, -1, false>; Src = Eigen::Block, -1, -1, true>, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, 1, -1, false>; Src = Eigen::Block, -1, -1, true>, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, 1, -1, false>; Derived = Eigen::Block, -1, -1, true>, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/proxy.h:157:28: required from ‘Rcpp::internal::generic_name_proxy& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >, 2>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 157 | set(Shield(wrap(rhs))); | ~~~~^~~~~ PLS.h:107:18: required from ‘SEXPREC* lmwith_sparse_QR_oT(SEXP, SEXP, bool, bool) [with OrderingType = Eigen::COLAMDOrdering; SEXP = SEXPREC*]’ 107 | resu["tQ"] = QRp.matrixR().topLeftCorner(X.cols(),X.cols()) * QRp.solve(I); PLS.cpp:143:60: required from here 143 | return(lmwith_sparse_QR_oT >( XX, yy, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 144 | returntQ, // I N H I B I T E D | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | returnR )); | ~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ 32 | class MappedSparseMatrix | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:51:11: required from ‘class Rcpp::ReferenceInputParameter >’ 51 | T obj ; | ^~~ RcppExports.cpp:181:98: required from here 181 | Rcpp::traits::input_parameter< Eigen::MappedSparseMatrix& >::type matrix1(matrix1SEXP); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c internals.cpp -o internals.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from internals.h:4, from internals.cpp:1: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ internals.cpp:39:22: required from here 39 | VectorXd trRancoef(as(trCoef)); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ internals.cpp:39:22: required from here 39 | VectorXd trRancoef(as(trCoef)); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ internals.cpp:47:12: required from here 47 | MatrixXd covmat=MatrixXd(Xi_ncol, Xi_ncol).setZero(); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ internals.cpp:57:101: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ internals.cpp:64:25: required from here 64 | Map vectors(as >(es["vectors"])); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ internals.cpp:72:32: required from here 72 | VectorXd sqrtW = values.array().sqrt(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ internals.cpp:72:39: required from here 72 | VectorXd sqrtW = values.array().sqrt(); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::DiagonalWrapper >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::DiagonalWrapper >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::DiagonalWrapper >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::DiagonalWrapper >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::DiagonalWrapper >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ internals.cpp:73:50: required from here 73 | MatrixXd rancoefs = vectors * sqrtW.asDiagonal(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ internals.cpp:79:37: required from here 79 | VectorXd lambdas=rancoefs.diagonal(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ internals.cpp:80:53: required from here 80 | VectorXd torancoefs=lambdas.array().sqrt().inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ internals.cpp:83:40: required from here 83 | rancoefs = torancoefs.asDiagonal() * rancoefs * torancoefs.asDiagonal(); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ internals.cpp:83:73: required from here 83 | rancoefs = torancoefs.asDiagonal() * rancoefs * torancoefs.asDiagonal(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ internals.cpp:112:20: required from here 112 | Map rC(as >(ranCoef)); // fails if input is integer vector | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ internals.cpp:47:53: required from here 47 | MatrixXd covmat=MatrixXd(Xi_ncol, Xi_ncol).setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits > >’ 506 | >::type DirectLinearAccessType; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 89 | typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ internals.cpp:114:53: required from here 114 | MatrixXd compactcovmat=MatrixXd(nc,nc).setIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1040 | SparseMatrix trMat(mat.rows(),mat.cols()); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:181:25: required from here 181 | longLv.setFromTriplets(tripletList.begin(), tripletList.end()); // directly in compressed mode | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 72 | typedef blas_data_mapper ResMapper; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 91 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:75:74: required from here 75 | rancoefs = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(rancoefs);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:181:25: required from here 181 | longLv.setFromTriplets(tripletList.begin(), tripletList.end()); // directly in compressed mode | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | (std::min)(size,i2), alpha, -1, -1, 0, 0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:75:74: required from here 75 | rancoefs = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(rancoefs);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 171 | buffer.setZero(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:57:84: required from here 57 | covmat = MatrixXd(Xi_ncol, Xi_ncol).setZero().selfadjointView().rankUpdate(covmat.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ 79 | const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ internals.cpp:181:25: required from here 181 | longLv.setFromTriplets(tripletList.begin(), tripletList.end()); // directly in compressed mode | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c newBessel.cpp -o newBessel.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c spaMM_linear.cpp -o spaMM_linear.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from spaMM_linear.h:4, from spaMM_linear.cpp:2: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:25:25: required from here 25 | const Map X(as >(x)); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:25:25: required from here 25 | const Map X(as >(x)); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ spaMM_linear.cpp:25:25: required from here 25 | const Map X(as >(x)); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:70:124: required from ‘class Eigen::ColPivHouseholderQR >’ 70 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from ‘class Eigen::ColPivHouseholderQR >’ 440 | RowVectorType m_temp; | ^~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ spaMM_linear.cpp:45:42: required from here 45 | return wrap(VectorXd(thinQ.cwiseProduct(thinQ).rowwise().sum().transpose())); //returns vector of leverages rather than thin Q matrix | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ spaMM_linear.cpp:45:63: required from here 45 | return wrap(VectorXd(thinQ.cwiseProduct(thinQ).rowwise().sum().transpose())); //returns vector of leverages rather than thin Q matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 52 | template class Transpose | ^~~~~~~~~ spaMM_linear.cpp:45:75: required from here 45 | return wrap(VectorXd(thinQ.cwiseProduct(thinQ).rowwise().sum().transpose())); //returns vector of leverages rather than thin Q matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:53:38: required from here 53 | const Map > A(as > >(AA)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Map >, const Eigen::Map > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Map >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Map > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ spaMM_linear.cpp:55:29: required from here 55 | return wrap(A.cwiseProduct(B)); //cwiseProduct infinitel faster than R... | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ spaMM_linear.cpp:122:25: required from here 122 | const Map W(as >(WW)); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:124:31: required from here 124 | return wrap(W.asDiagonal() *Z); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ spaMM_linear.cpp:171:27: required from here 171 | VectorXd sqrtW = W.array().sqrt(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ spaMM_linear.cpp:171:34: required from here 171 | VectorXd sqrtW = W.array().sqrt(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:172:39: required from here 172 | MatrixXd swZ = Z * sqrtW.asDiagonal(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:187:38: required from here 187 | MatrixXd swZ = sqrtW.asDiagonal() *Z; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ spaMM_linear.cpp:189:83: required from here 189 | swZ = MatrixXd(c, c).setZero().selfadjointView().rankUpdate(swZ.transpose());// as in crossprod | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ spaMM_linear.cpp:206:15: required from here 206 | swZ.diagonal() += wb; | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ spaMM_linear.cpp:208:18: required from here 208 | return wrap( - swZ); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ spaMM_linear.cpp:240:82: required from here 240 | tAA= MatrixXd(c, c).setZero().selfadjointView().rankUpdate(A.transpose()); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ spaMM_linear.cpp:273:63: required from here 273 | const VectorXd dampDpD(damping * VectorXd(AtAdDpD.diagonal())); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ spaMM_linear.cpp:273:63: required from here 273 | const VectorXd dampDpD(damping * VectorXd(AtAdDpD.diagonal())); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ spaMM_linear.cpp:288:37: required from here 288 | return wrap(LU.matrixLU().diagonal().array().abs().log().sum()); // valid because L is *unit*-lower-triangular ... | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ spaMM_linear.cpp:288:45: required from here 288 | return wrap(LU.matrixLU().diagonal().array().abs().log().sum()); // valid because L is *unit*-lower-triangular ... | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ spaMM_linear.cpp:288:51: required from here 288 | return wrap(LU.matrixLU().diagonal().array().abs().log().sum()); // valid because L is *unit*-lower-triangular ... | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ spaMM_linear.cpp:288:57: required from here 288 | return wrap(LU.matrixLU().diagonal().array().abs().log().sum()); // valid because L is *unit*-lower-triangular ... | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ spaMM_linear.cpp:296:50: required from here 296 | Eigen::SelfAdjointEigenSolver es; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Map >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:308:20: required from here 308 | S4 Xout(wrap(A * B)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl >, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl >, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ spaMM_linear.cpp:331:104: required from here 331 | SparseMatrix XX= SparseMatrix(c, c).selfadjointView().rankUpdate(A.transpose()); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >, Eigen::Map >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:352:45: required from here 352 | SparseMatrix XX=A.adjoint() * B; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose > >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:384:32: required from here 384 | S4 Xout(wrap(A * B.adjoint() )); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:497:37: required from here 497 | Xout = wrap(A.adjoint() * Bd); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:500:37: required from here 500 | Xout = wrap(A.adjoint() * Bm); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ spaMM_linear.cpp:508:33: required from here 508 | Xout = wrap(Ad.adjoint() * B); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:508:38: required from here 508 | Xout = wrap(Ad.adjoint() * B); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:511:38: required from here 511 | Xout = wrap(Am.adjoint() * B); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:516:40: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:519:40: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:524:40: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Map >, const Eigen::Map > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Map >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Map > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ spaMM_linear.cpp:586:20: required from here 586 | S4 Xout(wrap(A + B)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ spaMM_linear.cpp:598:38: required from here 598 | MatrixXd Id= MatrixXd::Identity(c,c); | ~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >, 1> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl > >, 1, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView > >, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ spaMM_linear.cpp:601:63: required from here 601 | return(wrap(A.adjoint().triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl > >, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve > >, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:601:71: required from here 601 | return(wrap(A.adjoint().triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ spaMM_linear.cpp:602:58: required from here 602 | } else return(wrap(A.triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:602:66: required from here 602 | } else return(wrap(A.triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl > >, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView > >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ spaMM_linear.cpp:605:63: required from here 605 | return(wrap(A.adjoint().triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 2>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 2>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 2>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl > >, 2>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve > >, 2>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:605:71: required from here 605 | return(wrap(A.adjoint().triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ spaMM_linear.cpp:606:58: required from here 606 | } else return(wrap(A.triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:606:66: required from here 606 | } else return(wrap(A.triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl > >, 1>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve > >, 1>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:612:71: required from here 612 | return(wrap(A.adjoint().triangularView().solve(B))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:613:66: required from here 613 | } else return(wrap(A.triangularView().solve(B))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 2>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 2>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 2>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl > >, 2>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve > >, 2>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:616:71: required from here 616 | return(wrap(A.adjoint().triangularView().solve(B))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 1>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 1>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:617:66: required from here 617 | } else return(wrap(A.triangularView().solve(B))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl > >, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve > >, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:627:71: required from here 627 | return(wrap(A.adjoint().triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:628:66: required from here 628 | } else return(wrap(A.triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 2>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 2>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 2>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl > >, 2>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve > >, 2>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:631:71: required from here 631 | return(wrap(A.adjoint().triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:632:66: required from here 632 | } else return(wrap(A.triangularView().solve(Id))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl > >, 1>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve > >, 1>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:638:71: required from here 638 | return(wrap(A.adjoint().triangularView().solve(B))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:639:66: required from here 639 | } else return(wrap(A.triangularView().solve(B))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 2>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 2>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 2>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl > >, 2>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve > >, 2>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:642:71: required from here 642 | return(wrap(A.adjoint().triangularView().solve(B))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 1>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 1>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ spaMM_linear.cpp:643:66: required from here 643 | } else return(wrap(A.triangularView().solve(B))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ spaMM_linear.cpp:670:40: required from here 670 | At.triangularView().solveInPlace(B); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ spaMM_linear.cpp:677:40: required from here 677 | At.triangularView().solveInPlace(B); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:712:25: required from here 712 | MatrixXd Au = (Ainv * u); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:716:49: required from here 716 | SparseMatrix AU = Ainv * u.asDiagonal(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ spaMM_linear.cpp:717:27: required from here 717 | Au = AU * VectorXd::Ones(AU.cols()); | ~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:717:37: required from here 717 | Au = AU * VectorXd::Ones(AU.cols()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ 45 | class SparseView : public SparseMatrixBase > | ^~~~~~~~~~ spaMM_linear.cpp:719:42: required from here 719 | SparseMatrix resu=Au.sparseView(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ spaMM_linear.cpp:720:32: required from here 720 | resu = resu * resu.transpose(); // interpreted as kronecker product! | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:720:33: required from here 720 | resu = resu * resu.transpose(); // interpreted as kronecker product! | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 42 | typedef typename internal::traits::StorageKind StorageKind; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 26 | template class SparseMatrixBase | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ spaMM_linear.cpp:721:23: required from here 721 | resu = resu/(denom/2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ spaMM_linear.cpp:721:23: required from here 721 | resu = resu/(denom/2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ spaMM_linear.cpp:722:17: required from here 722 | resu = Ainv + resu; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ 103 | template class Block | ^~~~~ spaMM_linear.cpp:744:17: required from here 744 | u = Qt.col(i_Q); // sparse column vector of 'thin' length | ~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:746:20: required from here 746 | Au = (Ainv * u); // dense column vector | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:747:31: required from here 747 | denom= (u.transpose() * Au)(0,0); // 1*1 matrix > scalar (cwiseProduct(dense, sparse) does not return the correct result) | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ spaMM_linear.cpp:750:25: required from here 750 | as_diag_u.diagonal() = u; // sparse diagonal matrix (all other elements=0 from as_diag_u initialisation) | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ spaMM_linear.cpp:752:17: required from here 752 | Au = AU * ones; // rowSums, dense column vector | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 426 | res(other.template cast::ResultScalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > > > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl > >, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:199:93: required from ‘Eigen::SparseSelfAdjointView& Eigen::SparseSelfAdjointView::rankUpdate(const Eigen::SparseMatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; MatrixType = Eigen::SparseMatrix; unsigned int _Mode = 1; Scalar = double]’ 199 | SparseMatrix tmp = u * u.adjoint(); | ~~~~~~~~~^~ spaMM_linear.cpp:331:92: required from here 331 | SparseMatrix XX= SparseMatrix(c, c).selfadjointView().rankUpdate(A.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >, Eigen::Transpose > > >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > > >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:199:82: required from ‘Eigen::SparseSelfAdjointView& Eigen::SparseSelfAdjointView::rankUpdate(const Eigen::SparseMatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; MatrixType = Eigen::SparseMatrix; unsigned int _Mode = 1; Scalar = double]’ 199 | SparseMatrix tmp = u * u.adjoint(); | ~~^~~~~~~~~~~~~ spaMM_linear.cpp:331:92: required from here 331 | SparseMatrix XX= SparseMatrix(c, c).selfadjointView().rankUpdate(A.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::TriangularView, 1> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::TriangularView, 1>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::TriangularView, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:203:23: required from ‘Eigen::SparseSelfAdjointView& Eigen::SparseSelfAdjointView::rankUpdate(const Eigen::SparseMatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; MatrixType = Eigen::SparseMatrix; unsigned int _Mode = 1; Scalar = double]’ 203 | m_matrix += alpha * tmp.template triangularView(); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:331:92: required from here 331 | SparseMatrix XX= SparseMatrix(c, c).selfadjointView().rankUpdate(A.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator > >, Eigen::Map >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>’ 96 | struct product_evaluator, ProductTag, LhsShape, RhsShape> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Map >, 2> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ spaMM_linear.cpp:352:43: required from here 352 | SparseMatrix XX=A.adjoint() * B; | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator > >’ 282 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63: required from ‘struct Eigen::internal::unary_evaluator > >, Eigen::internal::IteratorBased, double>’ 58 | typedef typename evaluator::InnerIterator EvalIterator; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Transpose > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ spaMM_linear.cpp:669:46: required from here 669 | SparseMatrix At(A.transpose()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1194 | OtherCopy otherCopy(other.derived()); | ^~~~~~~~~ spaMM_linear.cpp:721:23: required from here 721 | resu = resu/(denom/2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1195 | OtherCopyEval otherCopyEval(otherCopy); | ^~~~~~~~~~~~~ spaMM_linear.cpp:721:23: required from here 721 | resu = resu/(denom/2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block >, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ spaMM_linear.cpp:744:21: required from here 744 | u = Qt.col(i_Q); // sparse column vector of 'thin' length | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ spaMM_linear.cpp:174:31: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:33: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:91: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ 398 | TriangularViewType& operator/=(const typename internal::traits::Scalar& other) { return *this = derived().nestedExpression() / other; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 455 | mat.template triangularView() /= scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::TriangularView, 1> > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::TriangularView, 1> >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::TriangularView, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from ‘Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::TriangularView, 1> >; Derived = Eigen::SparseMatrix]’ 665 | return derived() = derived() + other.derived(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:203:14: required from ‘Eigen::SparseSelfAdjointView& Eigen::SparseSelfAdjointView::rankUpdate(const Eigen::SparseMatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; MatrixType = Eigen::SparseMatrix; unsigned int _Mode = 1; Scalar = double]’ 203 | m_matrix += alpha * tmp.template triangularView(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:331:92: required from here 331 | SparseMatrix XX= SparseMatrix(c, c).selfadjointView().rankUpdate(A.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 72 | typedef blas_data_mapper ResMapper; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:174:69: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 91 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:174:69: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:174:69: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:174:69: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 352 | Block A21(mat,k+1,k,rs,1); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 451 | subdiag = mat.template diagonal<-1>().real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 45 | VectorBlock::ret> essentialPart(derived(), 1, size()-1); | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 127 | Map::type> tmp(workspace,cols()); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 128 | Block bottom(derived(), 1, 0, rows()-1, cols()); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 90 | Matrix T(nbVecs,nbVecs); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 6>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ spaMM_linear.cpp:45:77: required from here 45 | return wrap(VectorXd(thinQ.cwiseProduct(thinQ).rowwise().sum().transpose())); //returns vector of leverages rather than thin Q matrix | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:174:69: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | (std::min)(size,i2), alpha, -1, -1, 0, 0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:174:69: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:174:69: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:174:69: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:189:69: required from here 189 | swZ = MatrixXd(c, c).setZero().selfadjointView().rankUpdate(swZ.transpose());// as in crossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:189:69: required from here 189 | swZ = MatrixXd(c, c).setZero().selfadjointView().rankUpdate(swZ.transpose());// as in crossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ 145 | return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:313:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]’ 313 | ColXpr x(this->col(p)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:714:28: required from here 714 | double denom = 1-2*Au.sum(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:187:17: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; ResultType = Eigen::SparseMatrix]’ 187 | RowMajorLhs lhsRow = lhs; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; int ProductType = 8]’ 75 | internal::conservative_sparse_sparse_product_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | typename remove_all::type, Dest>::run(lhsNested,rhsNested,dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; int ProductType = 8]’ 43 | evalTo(dst, lhs, rhs, typename evaluator_traits::Shape()); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:720:33: required from here 720 | resu = resu * resu.transpose(); // interpreted as kronecker product! | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:76:64: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 76 | VectorBlock tail(derived(), 1, size()-1); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:12: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:20: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 323 | Block A21(mat,k+1,k,rs,1); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:19: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 432 | MatrixTypeRef lu = MatrixType::Map(lu_data,rows, cols, OuterStride<>(luStride)); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:39: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 432 | MatrixTypeRef lu = MatrixType::Map(lu_data,rows, cols, OuterStride<>(luStride)); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:31: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:16: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 483 | A_0.row(i).swap(A_0.row(piv)); | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 323 | this->visit(minVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 496 | return minCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:36:18: required from ‘void Eigen::internal::conservative_sparse_sparse_product_impl(const Lhs&, const Rhs&, ResultType&, bool) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; ResultType = Eigen::SparseMatrix]’ 36 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:189:83: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; ResultType = Eigen::SparseMatrix]’ 189 | internal::conservative_sparse_sparse_product_impl(rhs, lhsRow, resRow); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; int ProductType = 8]’ 75 | internal::conservative_sparse_sparse_product_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | typename remove_all::type, Dest>::run(lhsNested,rhsNested,dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; int ProductType = 8]’ 43 | evalTo(dst, lhs, rhs, typename evaluator_traits::Shape()); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 174 | internal::generic_product_impl::evalTo(dst,src.lhs(),src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:720:33: required from here 720 | resu = resu * resu.transpose(); // interpreted as kronecker product! | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 171 | buffer.setZero(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:174:69: required from here 174 | swZ = MatrixXd(r, r).setZero().selfadjointView().rankUpdate(swZ);// as in tcrossprod | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 328 | if (k>0) x -= A10.squaredNorm(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 328 | if (k>0) x -= A10.squaredNorm(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block, -1, 1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block, -1, 1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block, -1, 1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block, -1, 1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 328 | if (k>0) x -= A10.squaredNorm(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ spaMM_linear.cpp:45:77: required from here 45 | return wrap(VectorXd(thinQ.cwiseProduct(thinQ).rowwise().sum().transpose())); //returns vector of leverages rather than thin Q matrix | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:357:58: required from ‘PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::Transpose::Scalar = double; Eigen::Index = long int]’ 357 | return m_argImpl.template packet(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ spaMM_linear.cpp:45:77: required from here 45 | return wrap(VectorXd(thinQ.cwiseProduct(thinQ).rowwise().sum().transpose())); //returns vector of leverages rather than thin Q matrix | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 333 | if (rs>0) A21 /= x; | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 483 | A_0.row(i).swap(A_0.row(piv)); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:15: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ spaMM_linear.cpp:45:77: required from here 45 | return wrap(VectorXd(thinQ.cwiseProduct(thinQ).rowwise().sum().transpose())); //returns vector of leverages rather than thin Q matrix | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block, -1, 1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:275:42: required from here 275 | const Eigen::LDLT PQR(AtAdDpD); // (LDLt is a version of cholesky) faster than QR | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; Derived = Eigen::Matrix]’ 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; Derived = Eigen::Matrix]’ 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; Derived = Eigen::Matrix]’ 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ spaMM_linear.cpp:45:77: required from here 45 | return wrap(VectorXd(thinQ.cwiseProduct(thinQ).rowwise().sum().transpose())); //returns vector of leverages rather than thin Q matrix | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:519:24: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:519:24: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:524:24: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:524:24: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:215:56: required from here 215 | const Eigen::LLT llt(as >(AA)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ 71 | triangular_solve_vector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:508:22: required from here 508 | Xout = wrap(Ad.adjoint() * B); | ~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:519:24: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:524:24: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:27:44: required from here 27 | Eigen::ColPivHouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 495 | A22.noalias() -= A21 * A12; | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Transpose > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:259:27: required from here 259 | AAt = A * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 439 | return unblocked_lu(lu, row_transpositions, nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:286:37: required from here 286 | Eigen::PartialPivLU LU(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:519:24: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:519:24: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:524:24: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:524:24: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:40:44: required from here 40 | const Eigen::HouseholderQR QR(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; Derived = Eigen::Matrix]’ 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::LDLT, 1>; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ spaMM_linear.cpp:276:30: required from here 276 | VectorXd dbetaV = PQR.solve(rhs); | ~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:519:24: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:524:24: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ spaMM_linear.cpp:243:27: required from here 243 | tAA = A.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; Derived = Eigen::Matrix]’ 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:519:24: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:519:24: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:524:24: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:524:24: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:43:31: required from here 43 | thinQ = QR.householderQ() * thinQ; // v3.6.8 markedly faster than older code, see https://forum.kde.org/viewtopic.php?f=74&t=106635 | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; Derived = Eigen::Matrix]’ 628 | Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:297:13: required from here 297 | es.compute(A); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:516:24: required from here 516 | Xout = wrap(Ad.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product > >, Eigen::Matrix, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:519:24: required from here 519 | Xout = wrap(Am.adjoint() * Bd); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenWrap.h:110:39: required from ‘SEXPREC* Rcpp::RcppEigen::eigen_wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 110 | return eigen_wrap_is_plain( obj, | ~~~~~~~~~~~~~~~~~~~^~~~~~ 111 | typename is_plain::type() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | ) ; | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:776:49: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 776 | return ::Rcpp::RcppEigen::eigen_wrap(object); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:787:39: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant]’ 787 | return wrap_dispatch_eigen(object, typename traits::is_eigen_base::type()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:807:52: required from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 807 | return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38: required from ‘SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Product >, Eigen::Map >, 0>; SEXP = SEXPREC*]’ 30 | return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits::wrap_category() ) ; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ spaMM_linear.cpp:524:24: required from here 524 | Xout = wrap(Ad.adjoint() * Bm); | ~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o spaMM.so COMPoisson.o PLS.o RcppExports.o internals.o newBessel.o spaMM_linear.o -lgsl -lgslcblas -fopenmp -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpoHLNfN/R.INSTALL20fe2c43b46247/spaMM/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-spaMM/00new/spaMM/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spaMM) * installing *source* package ‘RcppPlanc’ ... ** this is package ‘RcppPlanc’ version ‘2.0.13’ ** package ‘RcppPlanc’ successfully unpacked and MD5 sums checked ** using staged installation -- The C compiler identification is GNU 15.2.0 -- The CXX compiler identification is GNU 15.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc-15 - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/g++-15 - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done This is libplanc 1.0.2 containing component nmflib 1.0.1 -- Found R: /home/hornik/tmp/R-d-gcc-15/bin/R (found version "R Under development (unstable) (2025-12-11 r89146) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under the terms of the GNU General Public License versions 2 or 3. For more information about these matters see https://www.gnu.org/licenses/. ") -- Could NOT find MKL (missing: MKL_DIR) -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Could NOT find OpenBLAS (missing: OpenBLAS_DIR) -- Found BLAS: /usr/lib/x86_64-linux-gnu/libblas.so -- Found LAPACK: /usr/lib/x86_64-linux-gnu/liblapack.so;/usr/lib/x86_64-linux-gnu/libblas.so -- Found R_HighFive: /home/hornik/tmp/CRAN_recheck/Library/HighFive -- Found HDF5: /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so;/usr/lib/x86_64-linux-gnu/libcrypto.so;/usr/lib/x86_64-linux-gnu/libcurl.so;/usr/lib/x86_64-linux-gnu/libpthread.a;/usr/lib/x86_64-linux-gnu/libsz.so;/usr/lib/x86_64-linux-gnu/libz.so;/usr/lib/x86_64-linux-gnu/libdl.a;/usr/lib/x86_64-linux-gnu/libm.so (found version "1.14.5") found components: C -- Performing Test HDF5_LINKS -- Performing Test HDF5_LINKS - Success -- Found R_Rcpp: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp -- Found R_RcppArmadillo: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo -- Found R_RcppProgress: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress -- Performing Test UNSAFE_MATH -- Performing Test UNSAFE_MATH - Success -- Performing Test FINITE_MATH -- Performing Test FINITE_MATH - Success -- Performing Test TRAPPING_MATH -- Performing Test TRAPPING_MATH - Success -- Performing Test ERRNO_MATH -- Performing Test ERRNO_MATH - Success -- Performing Test UNSIGNED_ZERO -- Performing Test UNSIGNED_ZERO - Success -- Performing Test RECIPROCAL_MATH -- Performing Test RECIPROCAL_MATH - Success -- Performing Test ARCH_AVX -- Performing Test ARCH_AVX - Success -- Performing Test HAS_POPCNT -- Performing Test HAS_POPCNT - Success -- Looking for cblas.h -- Looking for cblas.h - found -- A cache variable, namely HWLOC_DIR, has been set to specify the install directory of HWLOC -- Checking for one of the modules 'hwloc' -- Looking for HWLOC - found using PkgConfig -- Found HWLOC: hwloc -- Performing Test HAVE_HWLOC_PARENT_MEMBER -- Performing Test HAVE_HWLOC_PARENT_MEMBER - Success -- Performing Test HAVE_HWLOC_CACHE_ATTR -- Performing Test HAVE_HWLOC_CACHE_ATTR - Success -- Performing Test HAVE_HWLOC_OBJ_PU -- Performing Test HAVE_HWLOC_OBJ_PU - Success -- Looking for dlfcn.h -- Looking for dlfcn.h - found -- NNLS_SOURCE_DIR = /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nnls -- NMF_SOURCE_DIR = /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf -- NMFLIB_COMMON = /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common -- Performing Test COMPILER_HAS_HIDDEN_VISIBILITY -- Performing Test COMPILER_HAS_HIDDEN_VISIBILITY - Success -- Performing Test COMPILER_HAS_HIDDEN_INLINE_VISIBILITY -- Performing Test COMPILER_HAS_HIDDEN_INLINE_VISIBILITY - Success -- Performing Test COMPILER_HAS_DEPRECATED_ATTR -- Performing Test COMPILER_HAS_DEPRECATED_ATTR - Success -- Configuring done (9.8s) -- Generating done (0.0s) CMake Warning: Manually-specified variables were not used by the project: R_SHLIB_EXT -- Build files have been written to: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build ./configure: 50: cannot create _deps/highfive-src/include/highfive/bits/H5Friends.hpp: Directory nonexistent make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' /usr/bin/cmake -S/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc -B/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/CMakeFiles /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build//CMakeFiles/progress.marks make -f CMakeFiles/Makefile2 all make[2]: Entering directory 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/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/utils.cpp:4: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/utils.hpp: In instantiation of ‘void makeSparse(double, T*) [with T = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/utils.cpp:69:30: required from here 69 | makeSparse(sparsity, &W); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/utils.hpp:81:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const long long unsigned int’} [-Wsign-compare] 81 | for (int j = 0; j < X->n_cols; j++) { | ~~^~~~~~~~~~~ make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' [ 11%] Built target utils make -f CMakeFiles/hw_detect.dir/build.make CMakeFiles/hw_detect.dir/depend make[3]: 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object CMakeFiles/hw_detect.dir/common/hw_detect.c.o /usr/bin/gcc-15 -DUSING_R -I/home/hornik/tmp/R-d-gcc-15/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include -I/usr/local/include -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -O2 -g -DNDEBUG -std=gnu99 -fPIC -fopenmp -funsafe-math-optimizations -ffinite-math-only -fno-trapping-math -fno-math-errno -fno-signed-zeros -freciprocal-math -mavx -mpopcnt -MD -MT CMakeFiles/hw_detect.dir/common/hw_detect.c.o -MF CMakeFiles/hw_detect.dir/common/hw_detect.c.o.d -o CMakeFiles/hw_detect.dir/common/hw_detect.c.o -c /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/hw_detect.c make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' [ 22%] Built target hw_detect make -f CMakeFiles/detect_blas.dir/build.make CMakeFiles/detect_blas.dir/depend make[3]: Entering directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' cd /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/CMakeFiles/detect_blas.dir/DependInfo.cmake "--color=" make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' make -f CMakeFiles/detect_blas.dir/build.make CMakeFiles/detect_blas.dir/build make[3]: Entering directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' [ 33%] Building C object CMakeFiles/detect_blas.dir/common/detect_blas.c.o /usr/bin/gcc-15 -DUSING_R -I/home/hornik/tmp/R-d-gcc-15/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include -I/usr/local/include -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -O2 -g -DNDEBUG -std=gnu99 -fPIC -fopenmp -funsafe-math-optimizations -ffinite-math-only -fno-trapping-math -fno-math-errno -fno-signed-zeros -freciprocal-math -mavx -mpopcnt -MD -MT CMakeFiles/detect_blas.dir/common/detect_blas.c.o -MF CMakeFiles/detect_blas.dir/common/detect_blas.c.o.d -o CMakeFiles/detect_blas.dir/common/detect_blas.c.o -c /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/detect_blas.c /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/detect_blas.c: In function ‘get_openblas_parallel’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/detect_blas.c:16:46: warning: ISO C forbids initialization between function pointer and ‘void *’ [-Wpedantic] 16 | const openblas_init_t parallel_address = dlsym(libloc, "openblas_get_parallel"); | ^~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/detect_blas.c: In function ‘get_openblas_set’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/detect_blas.c:21:40: warning: ISO C forbids initialization between function pointer and ‘void *’ [-Wpedantic] 21 | const openblas_set_t set_address = dlsym(libloc, "openblas_set_num_threads"); | ^~~~~ make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' [ 33%] Built target detect_blas make -f nmf/CMakeFiles/nmflib.dir/build.make nmf/CMakeFiles/nmflib.dir/depend make[3]: Entering directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' cd /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf/CMakeFiles/nmflib.dir/DependInfo.cmake "--color=" make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' make -f nmf/CMakeFiles/nmflib.dir/build.make nmf/CMakeFiles/nmflib.dir/build make[3]: Entering directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' [ 44%] Building CXX object nmf/CMakeFiles/nmflib.dir/nmf_lib.cpp.o cd /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf && /usr/bin/g++-15 -DUSING_R -I/home/hornik/tmp/R-d-gcc-15/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nnls -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf -I/home/hornik/tmp/CRAN_recheck/Library/HighFive/include -isystem /usr/include/hdf5/serial -I/usr/local/include -g -O2 -Wall -pedantic -mtune=native -O2 -g -DNDEBUG -fPIC -fvisibility-inlines-hidden -fopenmp -funsafe-math-optimizations -ffinite-math-only -fno-trapping-math -fno-math-errno -fno-signed-zeros -freciprocal-math -mavx -mpopcnt -MD -MT nmf/CMakeFiles/nmflib.dir/nmf_lib.cpp.o -MF CMakeFiles/nmflib.dir/nmf_lib.cpp.o.d -o CMakeFiles/nmflib.dir/nmf_lib.cpp.o -c /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.cpp In file included from /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:5, from /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.cpp:4: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:124:1: warning: multi-line comment [-Wcomment] 124 | // arma::mat* Hptr = this->Hi[i].get();\ | ^ In file included from /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:12: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp: In member function ‘void planc::INMF::load_whole_E(arma::uword) [with T = planc::H5Mat; arma::uword = long long unsigned int]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:409:47: warning: comparison of integer expressions of different signedness: ‘int’ and ‘arma::uword’ {aka ‘long long unsigned int’} [-Wsign-compare] 409 | if (numChunks * this->INMF_CHUNK_SIZE < n) numChunks++; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:413:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘arma::uword’ {aka ‘long long unsigned int’} [-Wsign-compare] 413 | if (spanEnd > n - 1) spanEnd = n - 1; | ~~~~~~~~^~~~~~~ In file included from /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:4: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp: In instantiation of ‘class planc::symmEmbeddedNMFDriver >’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:44:31: required from ‘static planc::nmfOutput planc::nmflib::symNMF(const T&, const arma::uword&, const arma::uword&, const double&, const std::string&, const int&, const arma::Mat&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int; std::string = std::__cxx11::basic_string]’ 44 | symmEmbeddedNMFDriver nmfRunner(options); | ^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_types.inc:1:1: required from here 8 | template planc::nmfOutput planc::nmflib::symNMF(const T&x, const arma::uword&k, const arma::uword&niter, const double& lambda, const std::string&algo, const int&nCores, const arma::Mat&Hinit); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:16:22: warning: ‘void planc::EmbeddedNMFDriver::parseParams(const planc::internalParams&) [with T = arma::Mat]’ was hidden [-Woverloaded-virtual=] 16 | virtual void parseParams(const internalParams&pc) { | ^~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:73:14: note: by ‘void planc::symmEmbeddedNMFDriver::parseParams(const planc::internalSymmParams&) [with T = arma::Mat]’ 73 | void parseParams(const internalSymmParams&pc) { | ^~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp: In instantiation of ‘class planc::symmEmbeddedNMFDriver >’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:44:31: required from ‘static planc::nmfOutput planc::nmflib::symNMF(const T&, const arma::uword&, const arma::uword&, const double&, const std::string&, const int&, const arma::Mat&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int; std::string = std::__cxx11::basic_string]’ 44 | symmEmbeddedNMFDriver nmfRunner(options); | ^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_types.inc:3:1: required from here 8 | template planc::nmfOutput planc::nmflib::symNMF(const T&x, const arma::uword&k, const arma::uword&niter, const double& lambda, const std::string&algo, const int&nCores, const arma::Mat&Hinit); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:16:22: warning: ‘void planc::EmbeddedNMFDriver::parseParams(const planc::internalParams&) [with T = arma::SpMat]’ was hidden [-Woverloaded-virtual=] 16 | virtual void parseParams(const internalParams&pc) { | ^~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:73:14: note: by ‘void planc::symmEmbeddedNMFDriver::parseParams(const planc::internalSymmParams&) [with T = arma::SpMat]’ 73 | void parseParams(const internalSymmParams&pc) { | ^~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp: In instantiation of ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double) [with T = arma::Mat; arma::uword = long long unsigned int]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:57:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const int&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int]’ 57 | BPPINMF solver(objectList, k, lambda); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 13 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:217:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 217 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp: In instantiation of ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T = arma::Mat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:81:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const std::vector >&, const std::vector >&, const arma::mat&, const int&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 81 | BPPINMF solver(objectList, k, lambda, HinitList, VinitList, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 14 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const std::vector &HinitList, const std::vector &VinitList, const arma::mat &Winit, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:235:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 235 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ In file included from /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:7: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘planc::ONLINEINMF::ONLINEINMF(std::vector >&, arma::uword, double) [with T1 = arma::Mat; arma::uword = long long unsigned int]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:146:23: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int]’ 146 | ONLINEINMF solver(matPtrVec, k, lambda); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:573:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 573 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘planc::ONLINEINMF::ONLINEINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T1 = arma::Mat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:190:23: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const std::vector >&, const std::vector >&, const arma::mat&, const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::Mat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 190 | ONLINEINMF solver(matPtrVec, k, lambda, Hinit, Vinit, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 17 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const std::vector &Hinit, const std::vector &Vinit, const arma::mat &Winit, const std::vector &Ainit, const std::vector &Binit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:606:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 606 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::setB(const std::vector >&) [with T1 = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:192:20: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const std::vector >&, const std::vector >&, const arma::mat&, const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::Mat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 192 | solver.setB(Binit); | ~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 17 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const std::vector &Hinit, const std::vector &Vinit, const arma::mat &Winit, const std::vector &Ainit, const std::vector &Binit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:704:41: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 704 | if (Binit[i].n_rows != this->m || Binit[i].n_cols != this->k) { /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp: In instantiation of ‘void planc::INMF::setW(const arma::mat&, bool) [with T = arma::Mat; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:230:20: required from ‘static std::vector > planc::nmflib::oinmf_project(std::vector >, const arma::mat&, std::vector >, const arma::uword&, const int&, const double&) [with T = arma::Mat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 230 | solver.setW(Winit, false); | ~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 18 | template std::vector> planc::nmflib::oinmf_project(std::vector> matPtrVec, const arma::mat &Winit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:281:57: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 281 | if (Winit.n_cols != this->k || Winit.n_rows != this->m) { | ~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp: In instantiation of ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double) [with T = arma::SpMat; arma::uword = long long unsigned int]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:57:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const int&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int]’ 57 | BPPINMF solver(objectList, k, lambda); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 13 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:217:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 217 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp: In instantiation of ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T = arma::SpMat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:81:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const std::vector >&, const std::vector >&, const arma::mat&, const int&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 81 | BPPINMF solver(objectList, k, lambda, HinitList, VinitList, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 14 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const std::vector &HinitList, const std::vector &VinitList, const arma::mat &Winit, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:235:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 235 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘planc::ONLINEINMF::ONLINEINMF(std::vector >&, arma::uword, double) [with T1 = arma::SpMat; arma::uword = long long unsigned int]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:146:23: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int]’ 146 | ONLINEINMF solver(matPtrVec, k, lambda); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:573:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 573 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘planc::ONLINEINMF::ONLINEINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T1 = arma::SpMat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:190:23: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const std::vector >&, const std::vector >&, const arma::mat&, const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::SpMat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 190 | ONLINEINMF solver(matPtrVec, k, lambda, Hinit, Vinit, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 17 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const std::vector &Hinit, const std::vector &Vinit, const arma::mat &Winit, const std::vector &Ainit, const std::vector &Binit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:606:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 606 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::setB(const std::vector >&) [with T1 = arma::SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:192:20: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const std::vector >&, const std::vector >&, const arma::mat&, const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::SpMat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 192 | solver.setB(Binit); | ~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 17 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const std::vector &Hinit, const std::vector &Vinit, const arma::mat &Winit, const std::vector &Ainit, const std::vector &Binit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:704:41: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 704 | if (Binit[i].n_rows != this->m || Binit[i].n_cols != this->k) { /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp: In instantiation of ‘void planc::INMF::setW(const arma::mat&, bool) [with T = arma::SpMat; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:230:20: required from ‘static std::vector > planc::nmflib::oinmf_project(std::vector >, const arma::mat&, std::vector >, const arma::uword&, const int&, const double&) [with T = arma::SpMat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 230 | solver.setW(Winit, false); | ~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 18 | template std::vector> planc::nmflib::oinmf_project(std::vector> matPtrVec, const arma::mat &Winit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:281:57: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 281 | if (Winit.n_cols != this->k || Winit.n_rows != this->m) { | ~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp: In instantiation of ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double) [with T = planc::H5Mat; arma::uword = long long unsigned int]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:57:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const int&) [with T = planc::H5Mat; eT = double; arma::uword = long long unsigned int]’ 57 | BPPINMF solver(objectList, k, lambda); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 13 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:217:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 217 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp: In instantiation of ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T = planc::H5Mat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:81:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const std::vector >&, const std::vector >&, const arma::mat&, const int&) [with T = planc::H5Mat; eT = double; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 81 | BPPINMF solver(objectList, k, lambda, HinitList, VinitList, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 14 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const std::vector &HinitList, const std::vector &VinitList, const arma::mat &Winit, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:235:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 235 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘planc::ONLINEINMF::ONLINEINMF(std::vector >&, arma::uword, double) [with T1 = planc::H5Mat; arma::uword = long long unsigned int]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:146:23: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5Mat; eT = double; arma::uword = long long unsigned int]’ 146 | ONLINEINMF solver(matPtrVec, k, lambda); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:573:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 573 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘planc::ONLINEINMF::ONLINEINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T1 = planc::H5Mat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:190:23: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const std::vector >&, const std::vector >&, const arma::mat&, const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5Mat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 190 | ONLINEINMF solver(matPtrVec, k, lambda, Hinit, Vinit, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 17 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const std::vector &Hinit, const std::vector &Vinit, const arma::mat &Winit, const std::vector &Ainit, const std::vector &Binit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:606:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 606 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::setB(const std::vector >&) [with T1 = planc::H5Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:192:20: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const std::vector >&, const std::vector >&, const arma::mat&, const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5Mat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 192 | solver.setB(Binit); | ~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 17 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const std::vector &Hinit, const std::vector &Vinit, const arma::mat &Winit, const std::vector &Ainit, const std::vector &Binit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:704:41: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 704 | if (Binit[i].n_rows != this->m || Binit[i].n_cols != this->k) { /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp: In instantiation of ‘void planc::INMF::setW(const arma::mat&, bool) [with T = planc::H5Mat; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:230:20: required from ‘static std::vector > planc::nmflib::oinmf_project(std::vector >, const arma::mat&, std::vector >, const arma::uword&, const int&, const double&) [with T = planc::H5Mat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 230 | solver.setW(Winit, false); | ~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 18 | template std::vector> planc::nmflib::oinmf_project(std::vector> matPtrVec, const arma::mat &Winit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:281:57: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 281 | if (Winit.n_cols != this->k || Winit.n_rows != this->m) { | ~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp: In instantiation of ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double) [with T = planc::H5SpMat; arma::uword = long long unsigned int]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:57:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const int&) [with T = planc::H5SpMat; eT = double; arma::uword = long long unsigned int]’ 57 | BPPINMF solver(objectList, k, lambda); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 13 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:217:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 217 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp: In instantiation of ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T = planc::H5SpMat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:81:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const std::vector >&, const std::vector >&, const arma::mat&, const int&) [with T = planc::H5SpMat; eT = double; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 81 | BPPINMF solver(objectList, k, lambda, HinitList, VinitList, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 14 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const std::vector &HinitList, const std::vector &VinitList, const arma::mat &Winit, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:235:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 235 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘planc::ONLINEINMF::ONLINEINMF(std::vector >&, arma::uword, double) [with T1 = planc::H5SpMat; arma::uword = long long unsigned int]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:146:23: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5SpMat; eT = double; arma::uword = long long unsigned int]’ 146 | ONLINEINMF solver(matPtrVec, k, lambda); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:573:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 573 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘planc::ONLINEINMF::ONLINEINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T1 = planc::H5SpMat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:190:23: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const std::vector >&, const std::vector >&, const arma::mat&, const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5SpMat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 190 | ONLINEINMF solver(matPtrVec, k, lambda, Hinit, Vinit, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 17 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const std::vector &Hinit, const std::vector &Vinit, const arma::mat &Winit, const std::vector &Ainit, const std::vector &Binit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:606:29: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 606 | if (this->k > this->m) { | ~~~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::setB(const std::vector >&) [with T1 = planc::H5SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:192:20: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const std::vector >&, const std::vector >&, const arma::mat&, const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5SpMat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 192 | solver.setB(Binit); | ~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 17 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const std::vector &Hinit, const std::vector &Vinit, const arma::mat &Winit, const std::vector &Ainit, const std::vector &Binit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:704:41: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 704 | if (Binit[i].n_rows != this->m || Binit[i].n_cols != this->k) { /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp: In instantiation of ‘void planc::INMF::setW(const arma::mat&, bool) [with T = planc::H5SpMat; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:230:20: required from ‘static std::vector > planc::nmflib::oinmf_project(std::vector >, const arma::mat&, std::vector >, const arma::uword&, const int&, const double&) [with T = planc::H5SpMat; eT = double; arma::mat = arma::Mat; arma::uword = long long unsigned int]’ 230 | solver.setW(Winit, false); | ~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 18 | template std::vector> planc::nmflib::oinmf_project(std::vector> matPtrVec, const arma::mat &Winit, std::vector> matPtrVecNew, const arma::uword &k, const int& nCores, const double &lambda); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:281:57: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 281 | if (Winit.n_cols != this->k || Winit.n_rows != this->m) { | ~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp: In instantiation of ‘void planc::symmEmbeddedNMFDriver::parseParams(const planc::internalSymmParams&) [with T = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:86:19: required from ‘planc::symmEmbeddedNMFDriver::symmEmbeddedNMFDriver(planc::internalSymmParams) [with T = arma::Mat]’ 86 | this->parseParams(pc); | ~~~~~~^~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:44:31: required from ‘static planc::nmfOutput planc::nmflib::symNMF(const T&, const arma::uword&, const arma::uword&, const double&, const std::string&, const int&, const arma::Mat&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int; std::string = std::__cxx11::basic_string]’ 44 | symmEmbeddedNMFDriver nmfRunner(options); | ^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_types.inc:1:1: required from here 8 | template planc::nmfOutput planc::nmflib::symNMF(const T&x, const arma::uword&k, const arma::uword&niter, const double& lambda, const std::string&algo, const int&nCores, const arma::Mat&Hinit); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:80:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const long long unsigned int’} [-Wsign-compare] 80 | if (this->m_k >= this->A.n_rows) std::throw_with_nested( | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp: In instantiation of ‘void planc::symmEmbeddedNMFDriver::parseParams(const planc::internalSymmParams&) [with T = arma::SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:86:19: required from ‘planc::symmEmbeddedNMFDriver::symmEmbeddedNMFDriver(planc::internalSymmParams) [with T = arma::SpMat]’ 86 | this->parseParams(pc); | ~~~~~~^~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:44:31: required from ‘static planc::nmfOutput planc::nmflib::symNMF(const T&, const arma::uword&, const arma::uword&, const double&, const std::string&, const int&, const arma::Mat&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int; std::string = std::__cxx11::basic_string]’ 44 | symmEmbeddedNMFDriver nmfRunner(options); | ^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_types.inc:3:1: required from here 8 | template planc::nmfOutput planc::nmflib::symNMF(const T&x, const arma::uword&k, const arma::uword&niter, const double& lambda, const std::string&algo, const int&nCores, const arma::Mat&Hinit); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:80:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const long long unsigned int’} [-Wsign-compare] 80 | if (this->m_k >= this->A.n_rows) std::throw_with_nested( | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ In file included from /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:6: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp: In instantiation of ‘void planc::UINMF::solveU(int) [with T = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:364:23: required from ‘void planc::UINMF::optimizeUANLS(arma::uword, bool, const int&) [with T = arma::Mat; arma::uword = long long unsigned int]’ 364 | this->solveU(ncores); | ~~~~~~^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:116:29: required from ‘static planc::uinmfOutput planc::nmflib::uinmf(const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const arma::vec&, const arma::uword&, const bool&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int; arma::vec = arma::Col]’ 116 | solver.optimizeUANLS(niter, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 19 | template planc::uinmfOutput planc::nmflib::uinmf(const std::vector> &matPtrVec, const std::vector> &unsharedPtrVec, std::vector whichUnshared, const arma::uword &k, const int& nCores, const arma::vec &lambda, const arma::uword &niter, const bool &verbose); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:237:55: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 237 | if (numChunks * this->INMF_CHUNK_SIZE < this->u[uidx]) numChunks++; /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:242:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 242 | if (spanEnd > this->u[uidx] - 1) spanEnd = this->u[uidx] - 1; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp: In instantiation of ‘void planc::UINMF::solveW(int) [with T = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:365:23: required from ‘void planc::UINMF::optimizeUANLS(arma::uword, bool, const int&) [with T = arma::Mat; arma::uword = long long unsigned int]’ 365 | this->solveW(ncores); | ~~~~~~^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:116:29: required from ‘static planc::uinmfOutput planc::nmflib::uinmf(const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const arma::vec&, const arma::uword&, const bool&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int; arma::vec = arma::Col]’ 116 | solver.optimizeUANLS(niter, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 19 | template planc::uinmfOutput planc::nmflib::uinmf(const std::vector> &matPtrVec, const std::vector> &unsharedPtrVec, std::vector whichUnshared, const arma::uword &k, const int& nCores, const arma::vec &lambda, const arma::uword &niter, const bool &verbose); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:289:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘arma::uword’ {aka ‘long long unsigned int’} [-Wsign-compare] 289 | for (int j = 0; j < this->nDatasets; ++j) { | ~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp: In instantiation of ‘void planc::UINMF::solveU(int) [with T = arma::SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:364:23: required from ‘void planc::UINMF::optimizeUANLS(arma::uword, bool, const int&) [with T = arma::SpMat; arma::uword = long long unsigned int]’ 364 | this->solveU(ncores); | ~~~~~~^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:116:29: required from ‘static planc::uinmfOutput planc::nmflib::uinmf(const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const arma::vec&, const arma::uword&, const bool&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int; arma::vec = arma::Col]’ 116 | solver.optimizeUANLS(niter, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 19 | template planc::uinmfOutput planc::nmflib::uinmf(const std::vector> &matPtrVec, const std::vector> &unsharedPtrVec, std::vector whichUnshared, const arma::uword &k, const int& nCores, const arma::vec &lambda, const arma::uword &niter, const bool &verbose); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:237:55: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 237 | if (numChunks * this->INMF_CHUNK_SIZE < this->u[uidx]) numChunks++; /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:242:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 242 | if (spanEnd > this->u[uidx] - 1) spanEnd = this->u[uidx] - 1; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp: In instantiation of ‘void planc::UINMF::solveW(int) [with T = arma::SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:365:23: required from ‘void planc::UINMF::optimizeUANLS(arma::uword, bool, const int&) [with T = arma::SpMat; arma::uword = long long unsigned int]’ 365 | this->solveW(ncores); | ~~~~~~^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:116:29: required from ‘static planc::uinmfOutput planc::nmflib::uinmf(const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const arma::vec&, const arma::uword&, const bool&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int; arma::vec = arma::Col]’ 116 | solver.optimizeUANLS(niter, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 19 | template planc::uinmfOutput planc::nmflib::uinmf(const std::vector> &matPtrVec, const std::vector> &unsharedPtrVec, std::vector whichUnshared, const arma::uword &k, const int& nCores, const arma::vec &lambda, const arma::uword &niter, const bool &verbose); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:289:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘arma::uword’ {aka ‘long long unsigned int’} [-Wsign-compare] 289 | for (int j = 0; j < this->nDatasets; ++j) { | ~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp: In instantiation of ‘void planc::UINMF::solveU(int) [with T = planc::H5Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:364:23: required from ‘void planc::UINMF::optimizeUANLS(arma::uword, bool, const int&) [with T = planc::H5Mat; arma::uword = long long unsigned int]’ 364 | this->solveU(ncores); | ~~~~~~^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:116:29: required from ‘static planc::uinmfOutput planc::nmflib::uinmf(const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const arma::vec&, const arma::uword&, const bool&) [with T = planc::H5Mat; eT = double; arma::uword = long long unsigned int; arma::vec = arma::Col]’ 116 | solver.optimizeUANLS(niter, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 19 | template planc::uinmfOutput planc::nmflib::uinmf(const std::vector> &matPtrVec, const std::vector> &unsharedPtrVec, std::vector whichUnshared, const arma::uword &k, const int& nCores, const arma::vec &lambda, const arma::uword &niter, const bool &verbose); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:237:55: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 237 | if (numChunks * this->INMF_CHUNK_SIZE < this->u[uidx]) numChunks++; /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:242:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 242 | if (spanEnd > this->u[uidx] - 1) spanEnd = this->u[uidx] - 1; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp: In instantiation of ‘void planc::UINMF::solveW(int) [with T = planc::H5Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:365:23: required from ‘void planc::UINMF::optimizeUANLS(arma::uword, bool, const int&) [with T = planc::H5Mat; arma::uword = long long unsigned int]’ 365 | this->solveW(ncores); | ~~~~~~^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:116:29: required from ‘static planc::uinmfOutput planc::nmflib::uinmf(const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const arma::vec&, const arma::uword&, const bool&) [with T = planc::H5Mat; eT = double; arma::uword = long long unsigned int; arma::vec = arma::Col]’ 116 | solver.optimizeUANLS(niter, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 19 | template planc::uinmfOutput planc::nmflib::uinmf(const std::vector> &matPtrVec, const std::vector> &unsharedPtrVec, std::vector whichUnshared, const arma::uword &k, const int& nCores, const arma::vec &lambda, const arma::uword &niter, const bool &verbose); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:289:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘arma::uword’ {aka ‘long long unsigned int’} [-Wsign-compare] 289 | for (int j = 0; j < this->nDatasets; ++j) { | ~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp: In instantiation of ‘void planc::UINMF::solveU(int) [with T = planc::H5SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:364:23: required from ‘void planc::UINMF::optimizeUANLS(arma::uword, bool, const int&) [with T = planc::H5SpMat; arma::uword = long long unsigned int]’ 364 | this->solveU(ncores); | ~~~~~~^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:116:29: required from ‘static planc::uinmfOutput planc::nmflib::uinmf(const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const arma::vec&, const arma::uword&, const bool&) [with T = planc::H5SpMat; eT = double; arma::uword = long long unsigned int; arma::vec = arma::Col]’ 116 | solver.optimizeUANLS(niter, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 19 | template planc::uinmfOutput planc::nmflib::uinmf(const std::vector> &matPtrVec, const std::vector> &unsharedPtrVec, std::vector whichUnshared, const arma::uword &k, const int& nCores, const arma::vec &lambda, const arma::uword &niter, const bool &verbose); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:237:55: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 237 | if (numChunks * this->INMF_CHUNK_SIZE < this->u[uidx]) numChunks++; /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:242:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 242 | if (spanEnd > this->u[uidx] - 1) spanEnd = this->u[uidx] - 1; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp: In instantiation of ‘void planc::UINMF::solveW(int) [with T = planc::H5SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:365:23: required from ‘void planc::UINMF::optimizeUANLS(arma::uword, bool, const int&) [with T = planc::H5SpMat; arma::uword = long long unsigned int]’ 365 | this->solveW(ncores); | ~~~~~~^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:116:29: required from ‘static planc::uinmfOutput planc::nmflib::uinmf(const std::vector >&, const std::vector >&, std::vector >, const arma::uword&, const int&, const arma::vec&, const arma::uword&, const bool&) [with T = planc::H5SpMat; eT = double; arma::uword = long long unsigned int; arma::vec = arma::Col]’ 116 | solver.optimizeUANLS(niter, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 19 | template planc::uinmfOutput planc::nmflib::uinmf(const std::vector> &matPtrVec, const std::vector> &unsharedPtrVec, std::vector whichUnshared, const arma::uword &k, const int& nCores, const arma::vec &lambda, const arma::uword &niter, const bool &verbose); | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/uinmf.hpp:289:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘arma::uword’ {aka ‘long long unsigned int’} [-Wsign-compare] 289 | for (int j = 0; j < this->nDatasets; ++j) { | ~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp: In instantiation of ‘void planc::INMF::setV(const std::vector >&, bool) [with T = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:158:19: required from ‘planc::INMF::INMF(std::vector >, arma::uword, double, const std::vector >&, const arma::mat&, bool) [with T = arma::Mat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 158 | this->setV(VinitList); | ~~~~~~^~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:233:116: required from ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T = arma::Mat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 233 | std::vector VinitList, arma::mat Winit) : INMF(Ei, k, lambda, VinitList, Winit, false) { | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:81:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const std::vector >&, const std::vector >&, const arma::mat&, const int&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 81 | BPPINMF solver(objectList, k, lambda, HinitList, VinitList, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 14 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const std::vector &HinitList, const std::vector &VinitList, const arma::mat &Winit, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:239:67: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 239 | if (Vinit[i].n_cols != this->k || Vinit[i].n_rows != this->m) { /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::updateW() [with T1 = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:479:27: required from ‘void planc::ONLINEINMF::solveHALS(arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = arma::Mat; arma::uword = long long unsigned int]’ 479 | this->updateW(); | ~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:751:19: required from ‘void planc::ONLINEINMF::runOnlineINMF(arma::uword, arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = arma::Mat; arma::uword = long long unsigned int]’ 751 | this->solveHALS(minibatchSize, inputmaxEpochs, maxHALSIter, verbose, ncores); | ~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:147:29: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int]’ 147 | solver.runOnlineINMF(minibatchSize, maxEpoch, maxHALSIter, permuteChunkSize, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:371:43: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 371 | for (arma::uword i = 0; i < this->m; i++) { | ~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::updateV() [with T1 = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:480:27: required from ‘void planc::ONLINEINMF::solveHALS(arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = arma::Mat; arma::uword = long long unsigned int]’ 480 | this->updateV(); | ~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:751:19: required from ‘void planc::ONLINEINMF::runOnlineINMF(arma::uword, arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = arma::Mat; arma::uword = long long unsigned int]’ 751 | this->solveHALS(minibatchSize, inputmaxEpochs, maxHALSIter, verbose, ncores); | ~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:147:29: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::Mat; eT = double; arma::uword = long long unsigned int]’ 147 | solver.runOnlineINMF(minibatchSize, maxEpoch, maxHALSIter, permuteChunkSize, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:1:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:395:47: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 395 | for (arma::uword k = 0; k < this->m; k++) { | ~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp: In instantiation of ‘void planc::INMF::setV(const std::vector >&, bool) [with T = arma::SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:158:19: required from ‘planc::INMF::INMF(std::vector >, arma::uword, double, const std::vector >&, const arma::mat&, bool) [with T = arma::SpMat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 158 | this->setV(VinitList); | ~~~~~~^~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:233:116: required from ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T = arma::SpMat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 233 | std::vector VinitList, arma::mat Winit) : INMF(Ei, k, lambda, VinitList, Winit, false) { | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:81:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const std::vector >&, const std::vector >&, const arma::mat&, const int&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 81 | BPPINMF solver(objectList, k, lambda, HinitList, VinitList, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 14 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const std::vector &HinitList, const std::vector &VinitList, const arma::mat &Winit, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:239:67: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 239 | if (Vinit[i].n_cols != this->k || Vinit[i].n_rows != this->m) { /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::updateW() [with T1 = arma::SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:479:27: required from ‘void planc::ONLINEINMF::solveHALS(arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = arma::SpMat; arma::uword = long long unsigned int]’ 479 | this->updateW(); | ~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:751:19: required from ‘void planc::ONLINEINMF::runOnlineINMF(arma::uword, arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = arma::SpMat; arma::uword = long long unsigned int]’ 751 | this->solveHALS(minibatchSize, inputmaxEpochs, maxHALSIter, verbose, ncores); | ~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:147:29: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int]’ 147 | solver.runOnlineINMF(minibatchSize, maxEpoch, maxHALSIter, permuteChunkSize, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:371:43: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 371 | for (arma::uword i = 0; i < this->m; i++) { | ~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::updateV() [with T1 = arma::SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:480:27: required from ‘void planc::ONLINEINMF::solveHALS(arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = arma::SpMat; arma::uword = long long unsigned int]’ 480 | this->updateV(); | ~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:751:19: required from ‘void planc::ONLINEINMF::runOnlineINMF(arma::uword, arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = arma::SpMat; arma::uword = long long unsigned int]’ 751 | this->solveHALS(minibatchSize, inputmaxEpochs, maxHALSIter, verbose, ncores); | ~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:147:29: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = arma::SpMat; eT = double; arma::uword = long long unsigned int]’ 147 | solver.runOnlineINMF(minibatchSize, maxEpoch, maxHALSIter, permuteChunkSize, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:3:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:395:47: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 395 | for (arma::uword k = 0; k < this->m; k++) { | ~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp: In instantiation of ‘void planc::INMF::setV(const std::vector >&, bool) [with T = planc::H5Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:158:19: required from ‘planc::INMF::INMF(std::vector >, arma::uword, double, const std::vector >&, const arma::mat&, bool) [with T = planc::H5Mat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 158 | this->setV(VinitList); | ~~~~~~^~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:233:116: required from ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T = planc::H5Mat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 233 | std::vector VinitList, arma::mat Winit) : INMF(Ei, k, lambda, VinitList, Winit, false) { | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:81:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const std::vector >&, const std::vector >&, const arma::mat&, const int&) [with T = planc::H5Mat; eT = double; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 81 | BPPINMF solver(objectList, k, lambda, HinitList, VinitList, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 14 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const std::vector &HinitList, const std::vector &VinitList, const arma::mat &Winit, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:239:67: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 239 | if (Vinit[i].n_cols != this->k || Vinit[i].n_rows != this->m) { /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::updateW() [with T1 = planc::H5Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:479:27: required from ‘void planc::ONLINEINMF::solveHALS(arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = planc::H5Mat; arma::uword = long long unsigned int]’ 479 | this->updateW(); | ~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:751:19: required from ‘void planc::ONLINEINMF::runOnlineINMF(arma::uword, arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = planc::H5Mat; arma::uword = long long unsigned int]’ 751 | this->solveHALS(minibatchSize, inputmaxEpochs, maxHALSIter, verbose, ncores); | ~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:147:29: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5Mat; eT = double; arma::uword = long long unsigned int]’ 147 | solver.runOnlineINMF(minibatchSize, maxEpoch, maxHALSIter, permuteChunkSize, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:371:43: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 371 | for (arma::uword i = 0; i < this->m; i++) { | ~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::updateV() [with T1 = planc::H5Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:480:27: required from ‘void planc::ONLINEINMF::solveHALS(arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = planc::H5Mat; arma::uword = long long unsigned int]’ 480 | this->updateV(); | ~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:751:19: required from ‘void planc::ONLINEINMF::runOnlineINMF(arma::uword, arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = planc::H5Mat; arma::uword = long long unsigned int]’ 751 | this->solveHALS(minibatchSize, inputmaxEpochs, maxHALSIter, verbose, ncores); | ~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:147:29: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5Mat; eT = double; arma::uword = long long unsigned int]’ 147 | solver.runOnlineINMF(minibatchSize, maxEpoch, maxHALSIter, permuteChunkSize, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:5:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:395:47: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 395 | for (arma::uword k = 0; k < this->m; k++) { | ~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp: In instantiation of ‘void planc::INMF::setV(const std::vector >&, bool) [with T = planc::H5SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:158:19: required from ‘planc::INMF::INMF(std::vector >, arma::uword, double, const std::vector >&, const arma::mat&, bool) [with T = planc::H5SpMat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 158 | this->setV(VinitList); | ~~~~~~^~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppinmf.hpp:233:116: required from ‘planc::BPPINMF::BPPINMF(std::vector >&, arma::uword, double, std::vector >, std::vector >, arma::mat) [with T = planc::H5SpMat; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 233 | std::vector VinitList, arma::mat Winit) : INMF(Ei, k, lambda, VinitList, Winit, false) { | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:81:20: required from ‘static planc::inmfOutput planc::nmflib::bppinmf(std::vector >, const arma::uword&, const double&, const arma::uword&, const bool&, const std::vector >&, const std::vector >&, const arma::mat&, const int&) [with T = planc::H5SpMat; eT = double; arma::uword = long long unsigned int; arma::mat = arma::Mat]’ 81 | BPPINMF solver(objectList, k, lambda, HinitList, VinitList, Winit); | ^~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 14 | template planc::inmfOutput planc::nmflib::bppinmf(std::vector> objectlist, const arma::uword &k, const double &lambda, const arma::uword &niter, const bool &verbose, const std::vector &HinitList, const std::vector &VinitList, const arma::mat &Winit, const int &nCores); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/inmf.hpp:239:67: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 239 | if (Vinit[i].n_cols != this->k || Vinit[i].n_rows != this->m) { /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::updateW() [with T1 = planc::H5SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:479:27: required from ‘void planc::ONLINEINMF::solveHALS(arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = planc::H5SpMat; arma::uword = long long unsigned int]’ 479 | this->updateW(); | ~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:751:19: required from ‘void planc::ONLINEINMF::runOnlineINMF(arma::uword, arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = planc::H5SpMat; arma::uword = long long unsigned int]’ 751 | this->solveHALS(minibatchSize, inputmaxEpochs, maxHALSIter, verbose, ncores); | ~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:147:29: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5SpMat; eT = double; arma::uword = long long unsigned int]’ 147 | solver.runOnlineINMF(minibatchSize, maxEpoch, maxHALSIter, permuteChunkSize, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:371:43: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 371 | for (arma::uword i = 0; i < this->m; i++) { | ~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp: In instantiation of ‘void planc::ONLINEINMF::updateV() [with T1 = planc::H5SpMat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:480:27: required from ‘void planc::ONLINEINMF::solveHALS(arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = planc::H5SpMat; arma::uword = long long unsigned int]’ 480 | this->updateV(); | ~~~~~~^~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:751:19: required from ‘void planc::ONLINEINMF::runOnlineINMF(arma::uword, arma::uword, arma::uword, arma::uword, bool, const int&) [with T1 = planc::H5SpMat; arma::uword = long long unsigned int]’ 751 | this->solveHALS(minibatchSize, inputmaxEpochs, maxHALSIter, verbose, ncores); | ~~~~~~^~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:147:29: required from ‘static planc::oinmfOutput planc::nmflib::oinmf(std::vector >, const arma::uword&, const int&, const double&, const arma::uword&, const arma::uword&, const arma::uword&, const arma::uword&, const bool&) [with T = planc::H5SpMat; eT = double; arma::uword = long long unsigned int]’ 147 | solver.runOnlineINMF(minibatchSize, maxEpoch, maxHALSIter, permuteChunkSize, verbose, nCores); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/inmf_types.inc:7:1: required from here 16 | template planc::oinmfOutput planc::nmflib::oinmf(std::vector> matPtrVec, const arma::uword &k, const int &nCores, const double &lambda, const arma::uword &maxEpoch, const arma::uword &minibatchSize, const arma::uword &maxHALSIter, const arma::uword &permuteChunkSize, const bool &verbose); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/onlineinmf.hpp:395:47: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘long long unsigned int’} and ‘int’ [-Wsign-compare] 395 | for (arma::uword k = 0; k < this->m; k++) { | ~~^~~~~~~~~ In file included from /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/NMFDriver.hpp:11, from /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:7: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp: In instantiation of ‘void planc::BPPNMF::updateOtherGivenOneMultipleRHS(const T&, const arma::mat&, char, arma::mat*, arma::fvec) [with T = arma::Mat; arma::mat = arma::Mat; arma::fvec = arma::Col]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:129:17: required from ‘void planc::BPPNMF::commonSolve() [with T = arma::Mat]’ 129 | updateOtherGivenOneMultipleRHS(this->At, this->H, 'W', &(this->W), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:287:19: required from ‘void planc::BPPNMF::computeNMF() [with T = arma::Mat]’ 287 | this->commonSolve(); | ~~~~~~^~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/NMFDriver.hpp:384:32: required from ‘void planc::NMFDriver::CallNMF() [with NMFTYPE = planc::BPPNMF >; T = arma::Mat]’ 384 | nmfAlgorithm.computeNMF(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/NMFDriver.hpp:317:39: required from ‘void planc::NMFDriver::callNMF() [with T = arma::Mat]’ 317 | CallNMF>(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:245:22: required from ‘static int planc::nmflib::runNMF(const planc::params&) [with T = arma::Mat; eT = double]’ 245 | myNMF.callNMF(); | ~~~~~~~~~~~~~^~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_types.inc:1:1: required from here 6 | template int planc::nmflib::runNMF(const planc::params& opts); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:64:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 64 | if (spanEnd > input.n_cols - 1) { | ~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:91:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, arma::Col > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 91 | for (int i = 0; i < subproblems.size(); i++) { | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:105:50: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, arma::Col > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 105 | for (int i = 0; i < subproblems.size(); i++) { | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp: In instantiation of ‘void planc::BPPNMF::updateOtherGivenOneMultipleRHS(const T&, const arma::mat&, char, arma::mat*, arma::fvec) [with T = arma::SpMat; arma::mat = arma::Mat; arma::fvec = arma::Col]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:129:17: required from ‘void planc::BPPNMF::commonSolve() [with T = arma::SpMat]’ 129 | updateOtherGivenOneMultipleRHS(this->At, this->H, 'W', &(this->W), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:287:19: required from ‘void planc::BPPNMF::computeNMF() [with T = arma::SpMat]’ 287 | this->commonSolve(); | ~~~~~~^~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/NMFDriver.hpp:445:32: required from ‘void planc::NMFDriver::CallNMF() [with NMFTYPE = planc::BPPNMF >; T = arma::SpMat]’ 445 | nmfAlgorithm.computeNMF(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/NMFDriver.hpp:317:39: required from ‘void planc::NMFDriver::callNMF() [with T = arma::SpMat]’ 317 | CallNMF>(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_lib.inl:245:22: required from ‘static int planc::nmflib::runNMF(const planc::params&) [with T = arma::SpMat; eT = double]’ 245 | myNMF.callNMF(); | ~~~~~~~~~~~~~^~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/nmf_types.inc:3:1: required from here 6 | template int planc::nmflib::runNMF(const planc::params& opts); \ | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:64:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 64 | if (spanEnd > input.n_cols - 1) { | ~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:91:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, arma::Col > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 91 | for (int i = 0; i < subproblems.size(); i++) { | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:105:50: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, arma::Col > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 105 | for (int i = 0; i < subproblems.size(); i++) { | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp: In instantiation of ‘void planc::EmbeddedNMFDriver::loadWHInit(arma::mat&, arma::mat&) [with T = arma::SpMat; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:24:14: required from here 24 | void loadWHInit(arma::mat&W, arma::mat&H) override { | ^~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:27:55: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 27 | if (W.n_rows != this->m_m || W.n_cols != this->m_k) { | ~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:38:55: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 38 | if (H.n_rows != this->m_n || H.n_cols != this->m_k) { | ~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp: In instantiation of ‘void planc::EmbeddedNMFDriver::loadWHInit(arma::mat&, arma::mat&) [with T = arma::Mat; arma::mat = arma::Mat]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:24:14: required from here 24 | void loadWHInit(arma::mat&W, arma::mat&H) override { | ^~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:27:55: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 27 | if (W.n_rows != this->m_m || W.n_cols != this->m_k) { | ~~~~~~~~~^~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/EmbeddedNMFDriver.hpp:38:55: warning: comparison of integer expressions of different signedness: ‘const arma::uword’ {aka ‘const long long unsigned int’} and ‘int’ [-Wsign-compare] 38 | if (H.n_rows != this->m_n || H.n_cols != this->m_k) { | ~~~~~~~~~^~~~~~~~~~~~ [ 55%] Building CXX object nmf/CMakeFiles/nmflib.dir/bppnmf.cpp.o cd /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf && /usr/bin/g++-15 -DUSING_R -I/home/hornik/tmp/R-d-gcc-15/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nnls -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf -I/home/hornik/tmp/CRAN_recheck/Library/HighFive/include -isystem /usr/include/hdf5/serial -I/usr/local/include -g -O2 -Wall -pedantic -mtune=native -O2 -g -DNDEBUG -fPIC -fvisibility-inlines-hidden -fopenmp -funsafe-math-optimizations -ffinite-math-only -fno-trapping-math -fno-math-errno -fno-signed-zeros -freciprocal-math -mavx -mpopcnt -MD -MT nmf/CMakeFiles/nmflib.dir/bppnmf.cpp.o -MF CMakeFiles/nmflib.dir/bppnmf.cpp.o.d -o CMakeFiles/nmflib.dir/bppnmf.cpp.o -c /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.cpp In file included from /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.cpp:4: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp: In instantiation of ‘void planc::BPPNMF::updateOtherGivenOneMultipleRHS(const T&, const arma::mat&, char, arma::mat*, arma::fvec) [with T = arma::SpMat; arma::mat = arma::Mat; arma::fvec = arma::Col]’: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:129:17: required from ‘void planc::BPPNMF::commonSolve() [with T = arma::SpMat]’ 129 | updateOtherGivenOneMultipleRHS(this->At, this->H, 'W', &(this->W), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.cpp:29:22: required from here 29 | this->commonSolve(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:64:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 64 | if (spanEnd > input.n_cols - 1) { | ~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:91:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, arma::Col > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 91 | for (int i = 0; i < subproblems.size(); i++) { | ^ /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nmf/bppnmf.hpp:105:50: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, arma::Col > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 105 | for (int i = 0; i < subproblems.size(); i++) { | ^ [ 66%] Building CXX object nmf/CMakeFiles/nmflib.dir/__/nnls/nnls_lib.cpp.o cd /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf && /usr/bin/g++-15 -DUSING_R -I/home/hornik/tmp/R-d-gcc-15/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nnls -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf -I/home/hornik/tmp/CRAN_recheck/Library/HighFive/include -isystem /usr/include/hdf5/serial -I/usr/local/include -g -O2 -Wall -pedantic -mtune=native -O2 -g -DNDEBUG -fPIC -fvisibility-inlines-hidden -fopenmp -funsafe-math-optimizations -ffinite-math-only -fno-trapping-math -fno-math-errno -fno-signed-zeros -freciprocal-math -mavx -mpopcnt -MD -MT nmf/CMakeFiles/nmflib.dir/__/nnls/nnls_lib.cpp.o -MF CMakeFiles/nmflib.dir/__/nnls/nnls_lib.cpp.o.d -o CMakeFiles/nmflib.dir/__/nnls/nnls_lib.cpp.o -c /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nnls/nnls_lib.cpp [ 77%] Building CXX object nmf/CMakeFiles/nmflib.dir/__/common/parseutils.cpp.o cd /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf && /usr/bin/g++-15 -DUSING_R -I/home/hornik/tmp/R-d-gcc-15/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nnls -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf -I/home/hornik/tmp/CRAN_recheck/Library/HighFive/include -isystem /usr/include/hdf5/serial -I/usr/local/include -g -O2 -Wall -pedantic -mtune=native -O2 -g -DNDEBUG -fPIC -fvisibility-inlines-hidden -fopenmp -funsafe-math-optimizations -ffinite-math-only -fno-trapping-math -fno-math-errno -fno-signed-zeros -freciprocal-math -mavx -mpopcnt -MD -MT nmf/CMakeFiles/nmflib.dir/__/common/parseutils.cpp.o -MF CMakeFiles/nmflib.dir/__/common/parseutils.cpp.o.d -o CMakeFiles/nmflib.dir/__/common/parseutils.cpp.o -c /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/parseutils.cpp [ 88%] Building CXX object nmf/CMakeFiles/nmflib.dir/__/common/data.cpp.o cd /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf && /usr/bin/g++-15 -DUSING_R -I/home/hornik/tmp/R-d-gcc-15/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include -I/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/nnls -I/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf -I/home/hornik/tmp/CRAN_recheck/Library/HighFive/include -isystem /usr/include/hdf5/serial -I/usr/local/include -g -O2 -Wall -pedantic -mtune=native -O2 -g -DNDEBUG -fPIC -fvisibility-inlines-hidden -fopenmp -funsafe-math-optimizations -ffinite-math-only -fno-trapping-math -fno-math-errno -fno-signed-zeros -freciprocal-math -mavx -mpopcnt -MD -MT nmf/CMakeFiles/nmflib.dir/__/common/data.cpp.o -MF CMakeFiles/nmflib.dir/__/common/data.cpp.o.d -o CMakeFiles/nmflib.dir/__/common/data.cpp.o -c /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/planc/common/data.cpp [100%] Linking CXX static library libnmflib.a cd /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf && /usr/bin/cmake -P CMakeFiles/nmflib.dir/cmake_clean_target.cmake cd /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/nmf && /usr/bin/cmake -E cmake_link_script CMakeFiles/nmflib.dir/link.txt --verbose=1 /usr/bin/ar qc libnmflib.a CMakeFiles/nmflib.dir/nmf_lib.cpp.o CMakeFiles/nmflib.dir/bppnmf.cpp.o CMakeFiles/nmflib.dir/__/nnls/nnls_lib.cpp.o CMakeFiles/nmflib.dir/__/common/parseutils.cpp.o CMakeFiles/nmflib.dir/__/common/data.cpp.o ../CMakeFiles/utils.dir/common/utils.cpp.o ../CMakeFiles/hw_detect.dir/common/hw_detect.c.o ../CMakeFiles/detect_blas.dir/common/detect_blas.c.o /usr/bin/ranlib libnmflib.a make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' [100%] Built target nmflib make[2]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' /usr/bin/cmake -E cmake_progress_start /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build/CMakeFiles 0 make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/build' -- Install configuration: "RelWithDebInfo" -- Installing: /home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src/libnmflib.a ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -Iplanc/common -Iplanc/nmf -Iplanc/nnls -Ibuild/_deps/highfive-src/include -Ibuild/nmf -DUSING_R -DHIGHFIVE_HAS_CONCEPTS=0 -DMPI_NO_CPPBIND -DRcppPlanc_EXPORTS -D_GNU_SOURCE -D_POSIX_C_SOURCE=200809L -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include' -I'/home/hornik/tmp/CRAN_recheck/Library/HighFive/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -Iplanc/common -Iplanc/nmf -Iplanc/nnls -Ibuild/_deps/highfive-src/include -Ibuild/nmf -DUSING_R -DHIGHFIVE_HAS_CONCEPTS=0 -DMPI_NO_CPPBIND -DRcppPlanc_EXPORTS -D_GNU_SOURCE -D_POSIX_C_SOURCE=200809L -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include' -I'/home/hornik/tmp/CRAN_recheck/Library/HighFive/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c rcppplanc_nmf.cpp -o rcppplanc_nmf.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -Iplanc/common -Iplanc/nmf -Iplanc/nnls -Ibuild/_deps/highfive-src/include -Ibuild/nmf -DUSING_R -DHIGHFIVE_HAS_CONCEPTS=0 -DMPI_NO_CPPBIND -DRcppPlanc_EXPORTS -D_GNU_SOURCE -D_POSIX_C_SOURCE=200809L -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppProgress/include' -I'/home/hornik/tmp/CRAN_recheck/Library/HighFive/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c rcppplanc_nnls.cpp -o rcppplanc_nnls.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o RcppPlanc.so RcppExports.o rcppplanc_nmf.o rcppplanc_nnls.o -L./ -lnmflib -fopenmp /usr/lib/x86_64-linux-gnu/libblas.so /usr/lib/x86_64-linux-gnu/liblapack.so /usr/lib/x86_64-linux-gnu/libblas.so /usr/lib/x86_64-linux-gnu/libhwloc.so -L/usr/lib/x86_64-linux-gnu -lhwloc /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so /usr/lib/x86_64-linux-gnu/libcrypto.so /usr/lib/x86_64-linux-gnu/libcurl.so /usr/lib/x86_64-linux-gnu/libpthread.a /usr/lib/x86_64-linux-gnu/libsz.so /usr/lib/x86_64-linux-gnu/libz.so /usr/lib/x86_64-linux-gnu/libdl.a /usr/lib/x86_64-linux-gnu/libm.so -L/home/hornik/tmp/R-d-gcc-15/lib -lR -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm9sFB/R.INSTALL210318350c908e/RcppPlanc/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-RcppPlanc/00new/RcppPlanc/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppPlanc) * installing *source* package ‘DropletUtils’ ... ** this is package ‘DropletUtils’ version ‘1.30.0’ ** package ‘DropletUtils’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpAregDN/R.INSTALL210e5a13b8f6f8/DropletUtils/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/assorthead/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhdf5lib/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/tmp/CRAN_recheck/Library/scuttle/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/assorthead/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhdf5lib/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/tmp/CRAN_recheck/Library/scuttle/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c downsample_run.cpp -o downsample_run.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/beachmat/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/assorthead/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rhdf5lib/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/dqrng/include' -I'/home/hornik/tmp/CRAN_recheck/Library/scuttle/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c encode_sequences.cpp -o encode_sequences.o encode_sequences.cpp: In function ‘Rcpp::IntegerVector encode_sequences(Rcpp::StringVector)’: encode_sequences.cpp:8:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 8 | for (size_t i=0; i